Adelaide Computational Biology Events

Register here : https://events.humanitix.com/r-for-reproducible-scientific-analysis-aug-2026

R for Reproducible Scientific Analysis (Aug 2026)

Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course.

This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.This workshop will run over four consecutive mornings of Monday 3rd August - Thursday 6th August from 9:00 am to 1:00 pm each day.Please only register if you are able to fully commit to attending all four sessions.FAQsWhat should I bring into the event?This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.What prior experience do I need?No specific experience is required, although previous use of the command line interface can be helpful.Who should attend?Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines.How can I contact the organiser with any questions?You can email training@qcif.edu.au.What's the cancellation policy?Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

Register here : https://events.humanitix.com/r-for-reproducible-scientific-analysis-aug-2026

R for Reproducible Scientific Analysis (Aug 2026)

Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course.

This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.This workshop will run over four consecutive mornings of Monday 3rd August - Thursday 6th August from 9:00 am to 1:00 pm each day.Please only register if you are able to fully commit to attending all four sessions.FAQsWhat should I bring into the event?This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.What prior experience do I need?No specific experience is required, although previous use of the command line interface can be helpful.Who should attend?Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines.How can I contact the organiser with any questions?You can email training@qcif.edu.au.What's the cancellation policy?Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

https://intersect.org.au/training/course/REDCAP101

Register here : https://events.humanitix.com/r-for-reproducible-scientific-analysis-aug-2026

R for Reproducible Scientific Analysis (Aug 2026)

Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course.

This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.This workshop will run over four consecutive mornings of Monday 3rd August - Thursday 6th August from 9:00 am to 1:00 pm each day.Please only register if you are able to fully commit to attending all four sessions.FAQsWhat should I bring into the event?This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.What prior experience do I need?No specific experience is required, although previous use of the command line interface can be helpful.Who should attend?Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines.How can I contact the organiser with any questions?You can email training@qcif.edu.au.What's the cancellation policy?Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

Register here : https://events.humanitix.com/r-for-reproducible-scientific-analysis-aug-2026

R for Reproducible Scientific Analysis (Aug 2026)

Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course.

This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.This workshop will run over four consecutive mornings of Monday 3rd August - Thursday 6th August from 9:00 am to 1:00 pm each day.Please only register if you are able to fully commit to attending all four sessions.FAQsWhat should I bring into the event?This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.What prior experience do I need?No specific experience is required, although previous use of the command line interface can be helpful.Who should attend?Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines.How can I contact the organiser with any questions?You can email training@qcif.edu.au.What's the cancellation policy?Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

Professor Zhong-Hua Chen, SAFW, Adelaide University Date: Thursday, 06 August 10-11 am,  SARDI Auditorium Title: Genome Evolution and Functional Analysis of Abiotic Stress Response in Ferns Abstract: TBA Bio: Zhong-Hua Chen is Professor in Plant Physiology at School of Agriculture, Food and Wine, Waite Research Institute, Adelaide University. He is Deputy Program 2 Leader of CRC Future Food Systems and Education & Training Director of the National Vegetable Protected Cropping Centre. Professor Chen obtained his Bachelor of Agriculture from Zhejiang University in 2002 and his PhD from University of Tasmania in 2008. Subsequently, he conducted postdoctoral research at University of Glasgow in the UK, and served as a Research Lecturer, Senior Lecturer, Associate Professor, and Professor at Western Sydney University. Professor Chen’s research primarily focuses on the mechanisms of plant abiotic stress, ion channel regulation, genome evolution, and greenhouse science and technology. He has received many awards, including the Minister for Agriculture Award (2013), ARC DECRA (2014), and ARC Future Fellowship (2021). He was also named a Clarivate Highly Cited Researcher in 2023 and 2024. Since 2005, he has published over 200 papers in journals such as the Nature series, PNAS, and Molecular Plant, with a total of over 17,000 citations and an h-index of 72. Professor Chen has secured research funding from ARC, Hort Innovation, GRDC, CRC and industry partners.  He serves as a reviewer for funding bodies across 14 developed countries and a peer reviewer for 130 SCI journals. Apart from well-funded research in grains and vegetables, he is also interested in ferns – ancient, non-flowering plants that play vital roles in environmental health and biodiversity. Followed by morning tea https://adelaide.zoom.us/j/88324941961?pwd=iBEvCU8wU2bKbEa3JaDzLIDGOZtEkj.1 Webinar ID: 883 2494 1961, Passcode:429141

Zoom : https://zoom.us/j/97420354693

More info : https://posit.co/data-science-hangout/

More information can be found here, in particular who is speaking: https://posit.co/data-science-hangout/


Note: Please make sure the event is added to your calendar for 12-1pm ET. We've noticed a few issues when it adds to your calendar across various timezones. While the recurring event started back in 2021, the Data Science Hangout is still happening now at the same Zoom link :)

Welcome to the Data Science Hangout - a gathering place for current and aspiring data science leaders.

If you know someone else that may be interested, feel free to share this invitation with them as well: pos.it/dsh

Join a community of data scientists that share insights about what it means to be a responsible, effective, and inspiring leader. No hard agenda or predetermined talk tracks: just an expert or two willing to share their perspectives on what’s really going on in data science at an organizational level.

It doesn’t matter how long you’ve been in the data science game — your title, background, or education either. What does matter is that you’re passionate about learning, celebrating diverse perspectives, and raising the bar for what it means to be a data scientist.

So join with an open mind, an appetite to learn, and if you’re up to the challenge, something to contribute to your fellow data scientists.

We love to hear your questions! You can ask questions over the chat, by raising your hand on Zoom, or through Slido if you'd like to ask anonymously! We want this to be as audience-led as much as possible :)

As a reminder, these sessions are recorded and shared to YouTube and our website. You can view full recordings and upcoming speakers here: https://posit.co/data-science-hangout/

Thank you for joining!

Recurring Zoom Link: https://zoom.us/j/97420354693

For information about zoom links etc please reach out.

More Info : https://www.biocommons.org.au/events/genomicalRegister here : https://unimelb.zoom.us/webinar/register/WN_cirPlp4jTJK-9OMkohbzrw#/Australia's recently announced $200M Precision Medicine research initiative has an ambitious goal: to embed genomics into mainstream healthcare for good. Genomics research generates incredibly valuable evidence, but it has done little to replace paper ordering, non-standardised tests, siloed data, and the lack of national oversight of the genomic tests actually being done across the country. This presentation will discuss how genomic data is moving from research to the clinic, and why research data infrastructure must pivot to interface with the healthcare stack: consent, ordering, labs, results, storage, health records, identity (IHI), My Health Record and more. Dr Natalie Thorne will dig into the practical problems, map out the emerging ecosystem, and highlight what it means for what we build next.Dr Natalie Thorne has been working on Genomical since it was first developed in 2015. With over 25-years of experience in bioinformatics and genomics, Nat’s expertise spans multiple disciplines: from computational biology, healthcare and pathology to software development and data governance.Speaker: Dr Natalie Thorne, Chief Scientific Officer, GenomicalDate/Time: Tuesday 11 August 2026, 1-2 pm AEST / 12:30 - 1:30 pm ACST / 11 - 12 pm AWST Who the webinar is for:This webinar is for everyone interested in the implementation of clinical genomics into healthcare and the supporting digital infrastructure required.How to join:Register here

https://intersect.org.au/training/course/REDCAP201