WADSIH
WA Data Science Innovation Hub
WA Data Science Innovation Hub
CU
Curtin University
Curtin University
Minderoo
Minderoo Foundation
Minderoo Foundation
CU
Curtin University
Curtin University
CU
Curtin University
Curtin University
Minderoo
Minderoo Foundation
Minderoo Foundation
CU
Curtin University
Curtin University
PSC
Pawsey Supercomputing Centre
Pawsey Supercomputing Centre
UWA
University of Western Australia
University of Western Australia
CU
Curtin University
Curtin University
MU
Murdoch University
Murdoch University
PSC
Pawsey Supercomputing Centre
Pawsey Supercomputing Centre
CU
Curtin University
Curtin University
CU
Curtin University
Curtin University
UWA
University of Western Australia
University of Western Australia
Minderoo
Minderoo Foundation
Minderoo Foundation
PSC
Pawsey Supercomputing Centre
Pawsey Supercomputing Research Centre
ECU
Edith Cowan University
Edith Cowan University
AARNET
AARNET
Australia's Academic and Research Network (AARNET)
PSC
Pawsey Supercomputing Centre
Pawsey Supercomputing Research Centre
CU
Curtin University
Curtin University
PSC
Pawsey Supercomputing Centre
Pawsey Supercomputing Research Centre
CU
Curtin University
Curtin University
PSC
Pawsey Supercomputing Centre
Pawsey Supercomputing Research Centre
CU
Curtin University
Curtin University
Career Consultant – Education/ Public/Private sectors
PSC
Pawsey Supercomputing Centre
Pawsey Supercomputing Research Centre
TST
Three Springs Technology
Three Springs Technology
TST
Three Springs Technology
Three Springs Technology
PMLG
Perth Machine Learning Group
Perth Machine Learning Group
PMLG
Perth Machine Learning Group
Perth Machine Learning Group
CU
Curtin University
Curtin University
CU
Curtin University
Curtin University
Join us at the official opening of Perth ResBaz 2022, meet your fellow attendees with ice breaker activities and prepare your poster for the afternoon networking and poster session!
Create your poster using this template
SESSION RECORDING AVAILABLE HERE
Panel and networking event discussing how to leverage research, computational and digital skills for future careers, over afternoon tea. Join us for your chance to win a door prize! Proudly sponsored by the Curtin Institute for Computation.
SESSION RECORDING AVAILABLE HERE
Alex Jenkins Director, WA Data Science Innovation Hub, WA Data Science Innovation Hub
Alex is the Director of WADSIH and has over 15 years' experience working in the technology space implementing and advocating for data science and analytics solutions.
Join us at the official opening of Perth ResBaz 2022, meet your fellow attendees with ice breaker activities and prepare your poster for the afternoon networking and poster session!
Create your poster using this template
SESSION RECORDING AVAILABLE HERE
Panel and networking event discussing how to leverage research, computational and digital skills for future careers, over afternoon tea. Join us for your chance to win a door prize! Proudly sponsored by the Curtin Institute for Computation.
SESSION RECORDING AVAILABLE HERE
Melanie Johnston-Hollitt Director of the Curtin Institute For Computation (CIC) and Australian Space Data Analysis Facility (ASDAF), Curtin University
Professor Melanie Johnston-Hollitt is an internationally prominent radio astronomer working in the space between astrophysics, computer science and big data.
Panel and networking event discussing how to leverage research, computational and digital skills for future careers, over afternoon tea. Join us for your chance to win a door prize! Proudly sponsored by the Curtin Institute for Computation.
SESSION RECORDING AVAILABLE HERE
Kim Carter Technology Lead, Collaborate Against Cancer Initiative, Minderoo Foundation
Dr Kim Carter is an experienced bioinformatician and data science leader with a career spanning academia, commercial consulting and philanthropy.
What does a good data management strategy look like? Have you heard of the FAIR principles? Applying the FAIR principles to your research data management practice has many benefits, including increase visibility and citation of your research, attract new partnerships and collaborations, and improve reproducibility and reliability of your research. Come along to this workshop to learn about the FAIR principles, assess how FAIR your data is and identify practical steps to make your data more FAIR.
NB: Session runs parallel with Help! My laptop is Burning! Deciding When to Move Off of Your Laptop, NVIVO Part 1, and Bioinformatics
SESSION RECORDING AVAILABLE HERE
This is a Data Carpentry Workshop offering a hands on introduction to the statistical programming language R. The course is aimed at those who want to learn more about using R for their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to complete the R and RStudio installation steps prior to the workshop from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk.
NB: Session runs parallel with Introduction to Python
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
SESSION RECORDING 3 AVAILABLE HERE
SESSION RECORDING 4 AVAILABLE HERE
This is a Data Carpentry Workshop offering a hands on introduction to the statistical programming language R. The course is aimed at those who want to learn more about using R for their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to complete the R and RStudio installation steps prior to the workshop from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk.
NB: Session runs parallel with Introduction to Python Continued
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
SESSION RECORDING 3 AVAILABLE HERE
SESSION RECORDING 4 AVAILABLE HERE
Shih Ching Fu Research Associate, Curtin University
Shih Ching is a consultant biostatistician working in clinical trials and healthcare analytics. Statistics aside, Shih Ching longs to spend more time on the greens and fairways, and under the stars.
Bioinformatics is one of the main tools of biology, but the required skills are hard to learn. Often it's even hard to know where to start learning! In this small workshop we'll show you how to analyse a small genomics dataset from start to finish on the command line. We'll touch on the various small tools experienced bioinformaticians employ, hopefully giving you a starting point for your learning journey. This workshop will not be interactive, but we welcome chances for digressions. We don't expect any prerequisite knowledge.
NB: Session runs parallel with Help! My laptop is Burning! Deciding When to Move Off of Your Laptop, NVIVO Part 1, and Make Your Data FAIR
SESSION RECORDING AVAILABLE HERE
The goal for Perth Machine Learning Group is to develop AI capabilities in Perth through training and knowledge sharing. We have over 2,800 members from industry, government and academia. Our panel has hands on experience to implement machine learning/AI in the real world. Come and ask us any questions so we can give you different perspective.
NB: Session runs parallel with Introduction to Julia, Build your Brand and CV/resume, Introduction to Pawsey's Nimbus Research Cloud (& Hands-on Workshop) and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
Philipp Bayer Research Officer Computational Biology & AI OceanOmics, Minderoo Foundation
This workshop will take you through setting up a project in the qualitative software NVivo. In particular it covers how to import different types of materials into a project, including Word, PDF, audio, video and picture files saved on your computer; survey data; web content; emails; and references and PDFs from EndNote. It also covers how to store information about the cases and files in your project as case and file classifications
NB: Session runs parallel with Help! My laptop is Burning! Deciding When to Move Off of Your Laptop, Make Your Data Fair and Bioinformatics
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
This workshop provides an introduction to organising and analysing qualitative data using NVivo. In particular, it covers how to organise project materials together according to specific themes and topics through the process of coding; how to use mind maps to visualise the layout of codes; and how to conduct searches and create graphs, including by making use of attributes of case and file classifications.
NB: Session runs parallel with Introduction to Qualtrics and Meet Pawsey & Pawsey-Curtin Researchers
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
Claire Hulcup Academic Skills Advisor (Numeracy) | Learning Success | University Library, Curtin University
How do you know when your dataset becomes “too big”? How do you know when your laptop can no longer do what you need it to do for your research? When is it best to use cloud resources? When is it best to use supercomputing resources? When do I need both (or neither)?
The answers to these questions are project-dependent, and each project is different… but there are guidelines and best practices to help you decide.
During this interactive session, we will seek to answer these and associated questions. We'll hear real stories from individuals who have had to navigate these same questions and who will be on hand to facilitate discussion, based on years of experience working with early, mid and late career researchers.
NB: Session runs parallel with Bioinformatics, NVIVO Part 1, and Make Your Data FAIR
SESSION RECORDING AVAILABLE HERE
Did you know that Setonix - the only Quokka-inspired supercomputer on the planet - computes just down the road from where you study? How, why, and when might you use the Pawsey resources, including Setonix? What types of research/science - right here at Curtin - is being done at Pawsey? Join Curtin Researchers and Pawsey Supercomputing Specialists to answer these - and your - questions. The presenters will also talk about their journeys toward supercomputing, and their decision points along the way. When you attend, don't forget to enter our prize draw!
NB: Session runs parallel with Introduction to Qualtrics and NVIVO Part 2
SESSION RECORDING AVAILABLE HERE
This course will introduce you to the use of Nimbus, the research cloud at Pawsey Supercomputing Centre. Please note, there is a limit of 20 participants for this workshop.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
For Windows users we highly recommend you use Windows Terminal as your command line interface. It can be downloaded for free from the Microsoft Store at this link. If you are familiar with alternatives such as MobaXterm or Putty please feel free to use them, but you may also want to try Windows Terminal.
Linux and MacOS users: No installation required.
Other links:
NB: Session runs parallel with Introduction to Julia, Build Your Brand and CV/resume, Ask Us Anything! Advice on How to Use Machine Learning to Tackle Your Project, and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
Ann Backhaus Education and Training Manager, Pawsey Supercomputing Centre
Ann works at Pawsey on Staff & User training and Education Outreach. She enjoys all things Teaching & Learning, and has worked in and experimented with a variety of modalities and approaches for training in technical and technology areas, including most recently HPC.
Bioinformatics is one of the main tools of biology, but the required skills are hard to learn. Often it's even hard to know where to start learning! In this small workshop we'll show you how to analyse a small genomics dataset from start to finish on the command line. We'll touch on the various small tools experienced bioinformaticians employ, hopefully giving you a starting point for your learning journey. This workshop will not be interactive, but we welcome chances for digressions. We don't expect any prerequisite knowledge.
NB: Session runs parallel with Help! My laptop is Burning! Deciding When to Move Off of Your Laptop, NVIVO Part 1, and Make Your Data FAIR
SESSION RECORDING AVAILABLE HERE
Dave Edwards Director UWA Centre for Applied Bioinformatics, School of Biological Sciences, UWA, University of Western Australia
My research interests include the structure and expression of plant genomes, the discovery and application of genome variation and applied bioinformatics, with a focus on crop plants and accelerating crop improvement in the face of climate change.
This is a Data Carpentry Workshop offering a hands-on introduction to bash and version control with git. This workshop is aimed at those who want to learn more about automation, version control, and improve the reproducibility of their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to install bash/git prior to the workshop:
Windows: bash+git together download from this link
MacOS: for bash you will use the terminal, for git download from this link
Linux: for bash you will use the command line, for git download from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk.
NB: Session runs parallel with Research Data Privacy, Security, Ethics and Network Know-how and Data Handling
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
Paul Hancock Data Scientist Project Lead, Curtin University
I work with the astronomy data and computing services (ADACS) to provide training and software development support to Australian astronomers. I teach first year and masters level computing courses, and in my down time I enjoy cycling, cooking, gardening, and singing.
This is a Data Carpentry Workshop offering a hands-on introduction to bash and version control with git. This workshop is aimed at those who want to learn more about automation, version control, and improve the reproducibility of their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to install bash/git prior to the workshop:
Windows: bash+git together download from this link
MacOS: for bash you will use the terminal, for git download from this link
Linux: for bash you will use the command line, for git download from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk.
NB: Session runs parallel with Active Data Management in Cloudstor and The Human Side of Data Science Innovation Management
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
Siobhan Egan Postdoctoral Research Fellow, Murdoch University
I am a biologist-turned computational biologist, spending less time in the wet lab and more time working with large multi-omic datasets. Much of my current research is focused around understanding the effects that tiny microorganisms can have on us, but I have a soft spot for native Australian animals & their unusual parasites. https://siobhonlegan.com/
This course will introduce you to the use of Nimbus, the research cloud at Pawsey Supercomputing Centre. Please note, there is a limit of 20 participants for this workshop.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
For Windows users we highly recommend you use Windows Terminal as your command line interface. It can be downloaded for free from the Microsoft Store at this link. If you are familiar with alternatives such as MobaXterm or Putty please feel free to use them, but you may also want to try Windows Terminal.
Linux and MacOS users: No installation required.
Other links:
NB: Session runs parallel with Introduction to Julia, Build Your Brand and CV/resume, Ask Us Anything! Advice on How to Use Machine Learning to Tackle Your Project, and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
This is a Data Carpentry Workshop offering a hands on introduction to python programming language. The course is aimed at those who want to learn more about using Python for their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to complete the Python and Jupyter Notebooks installation steps prior to the workshop from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk.
NB: Session runs parallel with Introduction to R
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
SESSION RECORDING 3 AVAILABLE HERE
SESSION RECORDING 4 AVAILABLE HERE
This is a Data Carpentry Workshop offering a hands on introduction to python programming language. The course is aimed at those who want to learn more about using Python for their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to complete the Python and Jupyter Notebooks installation steps prior to the workshop from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk
NB: Session runs parallel with Introduction to R Continued
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
SESSION RECORDING 3 AVAILABLE HERE
SESSION RECORDING 4 AVAILABLE HERE
Calvin Pang Data Scientist, Curtin University
Calvin is a data scientist at the Curtin Institute for Computation, working on projects involving computer vision and natural language processing. In a previous life, he was working in chemical engineering and materials science for additive manufacturing in healthcare. In his free time, he enjoys delving into various interests including cooking, cycling, gaming, gardening, home automation and music.
This is a Data Carpentry Workshop offering a hands on introduction to python programming language. The course is aimed at those who want to learn more about using Python for their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to complete the Python and Jupyter Notebooks installation steps prior to the workshop from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk.
NB: Session runs parallel with Introduction to R Continued
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
SESSION RECORDING 3 AVAILABLE HERE
SESSION RECORDING 4 AVAILABLE HERE
Leigh Tyers HPC Specialist, Curtin University
Leigh is a HPC Specialist and Data Scientist at the Curtin Institute for Computation, working on projects involving remote sensing and computer vision. Previously, he has worked in exploration geophysics where a significant amount of his time was spent working on induced polarisation inversion techniques. He has research interests in many scientific fields, including mathematical inversion techniques, machine learning, health, climate science, and remote sensing.
This is a Data Carpentry Workshop offering a hands on introduction to the statistical programming language R. The course is aimed at those who want to learn more about using R for their research.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Participants are asked to complete the R and RStudio installation steps prior to the workshop from this link
Support is available at ResBaz if you have any issues! Please ask a helper in your workshop or ask for some help at the Registration or software help desk.
NB: Session runs parallel with Introduction to Python Continued
SESSION RECORDING 1 AVAILABLE HERE
SESSION RECORDING 2 AVAILABLE HERE
SESSION RECORDING 3 AVAILABLE HERE
SESSION RECORDING 4 AVAILABLE HERE
Brady Johnston Post-Doctoral Researcher in Structural Biology, University of Western Australia
Very interested in all things data visualisation. Favourite tools are the programming language R & the 3D animation program Blender
Privacy, security, and ethics are fundamental considerations when using data in research and practice. Indeed, ever more data enables dramatic leaps in our ability to extract a person from signals at the expense of privacy: people’s ability to control their own conception and its expression. This dilemma is further fuelled by ever growing concerns on cyber security, and the variance in moral principles that govern the generation, access, use, and sharing of data. This workshop explains and organises key concepts for responsible data management and provides a range of recommendations and resources that help you navigate challenging data territory.
NB: Session runs parallel with Introduction to Bash and Git (version control) and Network Know-how and Data Handling
SESSION RECORDING AVAILABLE HERE
Ramon Wenzel Research Specialist, Minderoo Foundation
Ramon Wenzel operates as Research Specialist across Minderoo Foundation. With a background in work psychology, data science and social impact, he supports the many experts and programs in the foundation. Realising the research we need for the world we want means to co-design solutions that are anchored in robust and actionable evidence, to govern data with integrity and transparency, and to perpetually earn the trust by communicating the process and output of science. Outside of work, Ramon follows basketball, practices DIY carpentry, cooks up a storm but makes a mess, and embraces life with a young family.
This course will introduce you to the use of Nimbus, the research cloud at Pawsey Supercomputing Centre. Please note, there is a limit of 20 participants for this workshop.
Requirements:
Participants must bring their own laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
For Windows users we highly recommend you use Windows Terminal as your command line interface. It can be downloaded for free from the Microsoft Store at this link. If you are familiar with alternatives such as MobaXterm or Putty please feel free to use them, but you may also want to try Windows Terminal.
Linux and MacOS users: No installation required.
Other links:
NB: Session runs parallel with Introduction to Julia, Build Your Brand and CV/resume, Ask Us Anything! Advice on How to Use Machine Learning to Tackle Your Project, and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
Sarah Beecroft Bioinformatics Applications Specialist, Pawsey Supercomputing Research Centre
Sarah improves bioinformatics codes for HPC and trains bioinformaticians to be ready for big compute. Outside of work she paints, games, and goes for nature walks.
Are you conducting research that requires participant recruitment? Conducting a survey or experimental research online? Then Qualtrics might be the platform for you. Qualtrics is an online survey software that can handle everything from simple questionnaires to detailed research projects. Design your survey with their intuitive drag-and-drop survey tool, powerful logic, and 100+ question types. This session is aimed at those who are new to using online survey platforms (or would like a refresher). Content covers creating a survey, selecting and setting up the most common question types, survey development (including survey flow and logic functions), and how to set up your data for export to excel and SPSS.
NB: Session runs parallel with Meet Pawsey & Pawsey-Curtin Researchers, and NVIVO Part 2
SESSION RECORDING AVAILABLE HERE
Tiffany Carpenter Sessional Academic | Research Assistant | SOAR Peer Adviser, School of Arts & Humanities & Centre for Learning and Teaching, Edith Cowan University
Details to be confirmed
NB: Session runs parallel with Introduction to Bash and Git (version control) and Research Data Privacy, Security, Ethics
SESSION MATERIALS AVAILABLE HERE
SESSION RECORDING AVAILABLE HERE
Details to be confirmed
NB: Session runs parallel with Introduction to Bash and Git (version control) Continued and The Human Side of Data Science Innovation Management
SESSION MATERIALS AVAILABLE HERE
SESSION RECORDING AVAILABLE HERE
Sara King Training and Engagement Lead, Australia's Academic and Research Network (AARNET)
Dr Sara King is the Training and Engagement Lead at Australia's academic and research network provider, AARNet. She has extensive experience in engagement and training, with expertise in research data and technologies in the Humanities and Social Science (HASS) research areas. Prior to eResearch she worked for almost a decade at the National Archives of Australia and a few years in a public library. She has a PhD in Migration Studies and is a little bit obsessed with the idea of knitting as a form of coding.
Learning a new programming language can be a substantial time investment. Given the emergence of different programming languages, it is often difficult to decide if learning a new language is worth the time investment. The aim of this talk is to share my experience in learning and using Julia for research from a practical perspective. The talk will cover some of the useful features and annoyances of Julia as well as their relations to other languages such as Python and R.
NB: Session runs parallel with Build your Brand and CV/resume, Ask Us Anything! Advice on How to Use Machine Learning to Tackle Your Project, Introduction to Pawsey's Nimbus Research Cloud (& Hands-on Workshop) and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
Felix Chan Associate Professor, School of Accounting, Economics and Finance, Curtin University
How do you know when your dataset becomes “too big”? How do you know when your laptop can no longer do what you need it to do for your research? When is it best to use cloud resources? When is it best to use supercomputing resources? When do I need both (or neither)?
The answers to these questions are project-dependent, and each project is different… but there are guidelines and best practices to help you decide.
During this interactive session, we will seek to answer these and associated questions. We'll hear real stories from individuals who have had to navigate these same questions and who will be on hand to facilitate discussion, based on years of experience working with early, mid and late career researchers.
NB: Session runs parallel with Bioinformatics, NVIVO Part 1, and Make Your Data FAIR
SESSION RECORDING AVAILABLE HERE
Did you know that Setonix - the only Quokka-inspired supercomputer on the planet - computes just down the road from where you study? How, why, and when might you use the Pawsey resources, including Setonix? What types of research/science - right here at Curtin - is being done at Pawsey? Join Curtin Researchers and Pawsey Supercomputing Specialists to answer these - and your - questions. The presenters will also talk about their journeys toward supercomputing, and their decision points along the way. When you attend, don't forget to enter our prize draw!
NB: Session runs parallel with Introduction to Qualtrics and NVIVO Part 2
SESSION RECORDING AVAILABLE HERE
Liam Scarlett Research Associate, Curtin University
Liam is a research associate in the Theoretical Physics Group at Curtin University, working alongside some of the world’s leading researchers in quantum collision theory. Liam completed his PhD on electron-molecule collisions in 2021 and is now working on expanding the capabilities of the molecular scattering codes and collaborating with Pawsey staff as part of the PaCER scheme to optimise the codes for the Setonix supercomputer. Liam is a regular user of supercomputers both in Australia and the USA and has been using Pawsey supercomputing services for the last eight years.
How do you know when your dataset becomes “too big”? How do you know when your laptop can no longer do what you need it to do for your research? When is it best to use cloud resources? When is it best to use supercomputing resources? When do I need both (or neither)?
The answers to these questions are project-dependent, and each project is different… but there are guidelines and best practices to help you decide.
During this interactive session, we will seek to answer these and associated questions. We'll hear real stories from individuals who have had to navigate these same questions and who will be on hand to facilitate discussion, based on years of experience working with early, mid and late career researchers.
NB: Session runs parallel with Bioinformatics, NVIVO Part 1, and Make Your Data FAIR
SESSION RECORDING AVAILABLE HERE
Did you know that Setonix - the only Quokka-inspired supercomputer on the planet - computes just down the road from where you study? How, why, and when might you use the Pawsey resources, including Setonix? What types of research/science - right here at Curtin - is being done at Pawsey? Join Curtin Researchers and Pawsey Supercomputing Specialists to answer these - and your - questions. The presenters will also talk about their journeys toward supercomputing, and their decision points along the way. When you attend, don't forget to enter our prize draw!
NB: Session runs parallel with Introduction to Qualtrics and NVIVO Part 2
SESSION RECORDING AVAILABLE HERE
Pascal Elahi , Pawsey Supercomputing Research Centre
Pascal obtained a PhD in Astrophysics from Queen's University, Canada. His background is in numerical astrophysics, where he explored the physics governing the Universe through complex virtual universes. In addition, he has an extensive track record of developing astronomical software for HPC systems. At Pawsey, he is responsible for assisting researchers to efficiently parallelise their codes and port them onto Pawsey’s infrastructure. Pascal undertakes technical assessments of parallelised applications for performance on supercomputers and assists research groups in scaling their research applications and simulations from hundreds to thousands of processors.
Did you know that Setonix - the only Quokka-inspired supercomputer on the planet - computes just down the road from where you study? How, why, and when might you use the Pawsey resources, including Setonix? What types of research/science - right here at Curtin - is being done at Pawsey? Join Curtin Researchers and Pawsey Supercomputing Specialists to answer these - and your - questions. The presenters will also talk about their journeys toward supercomputing, and their decision points along the way. When you attend, don't forget to enter our prize draw!
NB: Session runs parallel with Introduction to Qualtrics and NVIVO Part 2
SESSION RECORDING AVAILABLE HERE
Irene Suarez Martinez , Curtin University
Irene is a materials scientist with +15 years of experience in research using Supercomputer to performed atomistic modelling of materials. An expert on carbon materials, she has worked with almost every carbon material known from diamond to graphite, from coal to nanostructures. Irene’s research focuses on both the chemistry and physics of carbon materials. The team works to investigate the reactivity, stability and mechanical properties of crystalline and amorphous forms of carbon. Irene is a member of the Australian National Committee for Materials Science and Engineering and a strong supporter of diverse career pathways in STEM. Since Irene moved to Australia she has successfully secured funds through the Australian Research Council (ARC) including fellowship schemes (Postdoctoral Fellowship and Future Fellowship).
The Future of Young Australians reports suggest that Australian youth will have 5 different careers and 17 different jobs in their lifetime – and yep (although now not that young) - I’m already there! So how does a Research Scientist become a Career Consultant ? Come and find out in my Personal Branding session and learn how you can build your own brand to manage your own career path.
NB: Session runs parallel with Introduction to Julia, Ask Us Anything! Advice on How to Use Machine Learning to Tackle Your Project, Introduction to Pawsey's Nimbus Research Cloud (& Hands-on Workshop) and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
Panel and networking event discussing how to leverage research, computational and digital skills for future careers, over afternoon tea. Join us for your chance to win a door prize! Proudly sponsored by the Curtin Institute for Computation.
SESSION RECORDING AVAILABLE HERE
Kathleen Franklyn BSc(hons), GradDipEd(Science, Career Development), PhD, Career Consultant – Education/ Public/Private sectors
Kathleen is a career consultant who has extensive skills and expertise in career development and management in the Tertiary and Private sector. She has been involved in several research and scholarship projects in the Higher Education sector which sought to understand, map and influence the embedding of employability in curriculum. Kathleen has successfully transitioned through 3 major careers: Research Scientist, Pharmaceutical Industry Professional, and Career/Talent Management and so has a unique understanding of the challenges and rewards to pursuing your career goals. Kathleen is passionate about making a difference, and has recently moved into the vocational educational sector. With current knowledge and understanding of career challenges, employability and market trends, Kathleen is curious about how we can make navigating the different educational options easier for people. She is interested in understanding the intricacies of how we can create an educational ecosystem which allows people to create their career path, navigate opportunities and challenges and succeed in the world of work.
Did you know that Setonix - the only Quokka-inspired supercomputer on the planet - computes just down the road from where you study? How, why, and when might you use the Pawsey resources, including Setonix? What types of research/science - right here at Curtin - is being done at Pawsey? Join Curtin Researchers and Pawsey Supercomputing Specialists to answer these - and your - questions. The presenters will also talk about their journeys toward supercomputing, and their decision points along the way. When you attend, don't forget to enter our prize draw!
NB: Session runs parallel with Introduction to Qualtrics and NVIVO Part 2
SESSION RECORDING AVAILABLE HERE
Aditi Subramanya Marketing and Events Officer, Pawsey Supercomputing Research Centre
Aditi is the digital marketing lead at the Pawsey Supercomputing Research Centre. As a content creator and tech enthusiast, Aditi has been instrumental in providing Australian and global visibility to showcase Pawsey’s capabilities and services. Aditi has a passion for diversity and inclusivity, especially to give those with few opportunities a platform to stand on. Aditi loves to work with researchers to showcase their work and profiles through the power of communication.
The goal for Perth Machine Learning Group is to develop AI capabilities in Perth through training and knowledge sharing. We have over 2,800 members from industry, government and academia. Our panel has hands on experience to implement machine learning/AI in the real world. Come and ask us any questions so we can give you different perspective.
NB: Session runs parallel with Introduction to Julia, Build your Brand and CV/resume, Introduction to Pawsey's Nimbus Research Cloud (& Hands-on Workshop) and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
The goal for Perth Machine Learning Group is to develop AI capabilities in Perth through training and knowledge sharing. We have over 2,800 members from industry, government and academia. Our panel has hands on experience to implement machine learning/AI in the real world. Come and ask us any questions so we can give you different perspective.
NB: Session runs parallel with Introduction to Julia, Build your Brand and CV/resume, Introduction to Pawsey's Nimbus Research Cloud (& Hands-on Workshop) and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
The goal for Perth Machine Learning Group is to develop AI capabilities in Perth through training and knowledge sharing. We have over 2,800 members from industry, government and academia. Our panel has hands on experience to implement machine learning/AI in the real world. Come and ask us any questions so we can give you different perspective.
NB: Session runs parallel with Introduction to Julia, Build your Brand and CV/resume, Introduction to Pawsey's Nimbus Research Cloud (& Hands-on Workshop) and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
Panel and networking event discussing how to leverage research, computational and digital skills for future careers, over afternoon tea. Join us for your chance to win a door prize! Proudly sponsored by the Curtin Institute for Computation.
SESSION RECORDING AVAILABLE HERE
The goal for Perth Machine Learning Group is to develop AI capabilities in Perth through training and knowledge sharing. We have over 2,800 members from industry, government and academia. Our panel has hands on experience to implement machine learning/AI in the real world. Come and ask us any questions so we can give you different perspective.
NB: Session runs parallel with Introduction to Julia, Build your Brand and CV/resume, Introduction to Pawsey's Nimbus Research Cloud (& Hands-on Workshop) and Curtin HIVE Tour
SESSION RECORDING AVAILABLE HERE
Although data science applications are initiated to deliver value from data, many fail because they are deployed as time-bound technical projects rather than as part of an integrated business process. It is important to focus on not only organisational routines and standardised workflows, but also collaborative team process achieved by people with appropriate skills. This session will cover people skills, communications, and new ways of working in data science innovations, with a case study of machine learning model application in a mining operation context.
NB: Session runs parallel with Active Data Management in Cloudstor and Session runs parallel with Introduction to Bash and Git (version control) Continued
SESSION RECORDING AVAILABLE HERE
Eden (Keyao) Li Postdoctoral Research Fellow, Future of Work Institute, Curtin University
Dr. Eden (Keyao) Li is a postdoc research fellow at the Future of Work Institute, Curtin University. Her research examines technology innovation, performance, safety and well-being in the workplace. Eden is also a research fellow at the ARC Training Centre for Transforming Maintenance Through Data Science. Her research at the centre aims to translate advances in data science arising from the research projects into workplace improvement for the future mining industry but also applicable to other industries.
Join us at the official opening of Perth ResBaz 2022, meet your fellow attendees with ice breaker activities and prepare your poster for the afternoon networking and poster session!
Create your poster using this template
SESSION RECORDING AVAILABLE HERE
Kathryn Napier Lead Data Scientist, Curtin Open Knowledge Initiative | Curtin Institute for Computation, Curtin University
Kathryn Napier is a Data Scientist with a background in health informatics, bioinformatics, and ecological physiology. Kathryn leads the technical team for the Curtin Open Knowledge Initiative, a vibrant research team of critical humanities scholars, data scientists and developers.