Adelaide Computational Biology Events

Exciting news for the Australasian genomics community!Australasian Genomic Technologies Association (AGTA) Inc. #AGTA2026 returns to the iconic Roundhouse at UNSWSydney from 13-16 September 2026.This year’s themes spotlight cutting-edge advances:
Population-scale genomics (clinic + non-humans)
 Spatial/single-cell disease atlases
CRISPR, functional/regulatory genomics
AI for genomics & pathology
Emerging platforms & automation:date: Save the Date – 13th -16th September 2026, SydneyConfirmed superstar speakers:
Braden Tierney
Martin Smith
Lipin Loo
Tiffany Boughtwood
Justin Wong
and many more to come … stay tuned for program, abstracts and registration.Conference website to come soon – but you can take a look at previous years here:
https://agtagenomics.org.au 

https://2026aepia.com.au AEpiA 2026 will bring together scientists, students and emerging leaders in epigenetics, chromatin biology, genome regulation, and functional genomics for three days of outstanding science, collaboration, and community building. Whether you're a long-standing member of the AEpiA community or looking to get more involved, this is the meeting to be at. AEpiA members receive discounted registration, so now is a great time to join our growing national network while securing your place at the conference. Register here: https://2026aepia.com.au/registration

Virtual, Global https://conf.posit.co/2026/ Tickets: https://conf.posit.co/2026/registration

Register here : https://events.humanitix.com/statistical-comparisons-using-spss-sept-2026

Statistical Comparisons Using SPSS (Sept 2026)

Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course.
This practical workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute, report, and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. Please note: Prior knowledge of SPSS is mandatory as the basics of SPSS will not be covered. Please do not register unless you have this experience. Beginners should consider registering for Introduction to SPSS.FAQsWhat should I bring into the event?To participate in this workshop, you must have access to an SPSS licence; this can often be obtained through your university IT support system.This is an online workshop, so you will need to provide your own computer with SPSS pre-installed, 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?Prior experience with SPSS interface is required, as the basics of SPSS will not be covered.Who should attend?Researchers wanting to understand how to choose the right statistical test for the context/condition and how to conduct the analysis by themselves using SPSS.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.

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.

Register here : https://events.humanitix.com/classification-in-machine-learning-sept-2026

Classification in Machine Learning (Sept 2026)

Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course.
This workshop will take place on Tuesday 22nd September, 9:30am - 1:30pm AEST.Classification is a core supervised learning technique used to categorise data into discrete classes. In this interactive 4-hour workshop, participants will explore key concepts in classification, including logistic regression, support vector machines (SVM), and neural networks. They will learn model evaluation techniques, such as precision-recall, ROC-AUC, and cross-validation. Through hands-on coding exercises in Python (Scikit-Learn, NumPy, Pandas, Matplotlib), attendees will build, interpret, and optimise classification models using real-world datasets. The workshop will also introduce strategies for handling imbalanced data and discuss model optimisation techniques. By the end of the session, participants will have practical skills to apply classification techniques to real-world predictive modelling tasks. No prior machine learning experience is required. However, basic Python and statistics knowledge are recommended.FAQsWhat should I bring into the event?This is an online workshop, so you will need to provide your own computer, and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.What prior experience do I need?

• Basic Python knowledge (Completing either ‘Introduction to Python (NCI)’ or Software Carpentry ‘Plotting and Programming in Python’)
• Fundamental statistics knowledge

Who should attend?This workshop is ideal for researchers, data scientists, and professionals looking to apply classification techniques to their datasets for predictive analysis.How can I contact the organiser with any questions?You can email training@qcif.edu.au.What's the cancellation policy?Cancellations may be made up to 3 working days prior to 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.

Zoom meeting on Join from PC, Mac, iOS or Android: https://unimelb.zoom.us/j/82703799956?pwd=lwISWmgC7K03WB9NCYyGqgIPk6zRK7.1 Password: 053155 Need to dial-in instead? Enter the meeting ID: 827 0379 9956 via +61 3 7018 2005 or +61 2 8015 6011 Or join from a H.323/SIP room system: Dial: 82703799956@global.zoomcrc.com | or SIP: 82703799956@zmau.us | or 103.122.166.55 with meeting ID: 82703799956 and password: 053155 Help: https://unimelb.service-now.com/it Legal: https://www.unimelb.edu.au/legal The University of Melbourne collects your personal information via Zoom to facilitate virtual meetings, webinars and events. This may include your name, email address and any personal information you share via Zoom during the session. The University's General Privacy Statement details how we collect and process personal information. Specific privacy collection notices provided to you at the time your personal information is collected further detail how your personal information will be processed. Refer to Zoom's Privacy Statement for information about how Zoom collects and processes personal information.

https://intersect.org.au/training/course/PYTHON205

Register here : https://events.humanitix.com/r-shiny-essentials-sept-2026

R Shiny Essentials (Sept 2026)

Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course.
RShiny is a popular R package that allows you to transform complex analytics into powerful, user-friendly interactive visualisation tools. In this workshop we will provide an introduction to R Shiny, and how you can use it to create web apps, and more interactive data visualisations. We will go over how to build a basic Shiny application, and cover the best practices and resources when approaching Shiny.N.B. Prior knowledge of R and RStudio is mandatory as the basics of R will not be covered. Please do not register unless you have this experience.
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, 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?Prior experience with R and the RStudio interface is required, as the basics of R will not be covered. QCIF workshop 'R for Reproducible Scientific Analysis' would provide you with the appropriate prior experience.Who should attend?Researchers wanting to share their data through an interactive and intuitive platformHow can I contact the organiser with any questions?You can email training@qcif.edu.auWhat'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.