This seminar offers a complete introduction to survival analysis, also known as time-to-event data modeling. Log-rank tests, Cox proportional hazard regression models and other key topics will be covered in depth to determine associations between predictors and event occurrence.

The "Excel Methods for Power & Sample Size" workshop by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive seminar designed to equip researchers with the necessary skills to conduct robust research. The seminar gives the basics of sample size...

Join our drop-in session to connect with NCI experts and get help with any challenges you're facing while using our services. No registration required. Please use the link below to book a time.

This 2-hour, seminar-style session is held monthly and covers the essentials of using Gadi — including the file system, user login, job submission, and more. It’s ideal for both new users and those looking for a quick refresher.

Large Language Models (LLMs), such as Llama, GPT, and Mistral, are transforming how researchers discover, manage, and analyse information.

In this interactive 4-hour workshop, participants will learn how to automate summarisation and organisation of scientific literature using an LLM by...

This record includes training materials associated with the Australian BioCommons webinar ‘ProteinDJ: A modular and open-source framework for protein design workflows’. This webinar took place on 7 October 2025 and is part of the series 'Leveraging deep learning to design custom protein-binding...

This record includes training materials associated with the Australian BioCommons webinar ‘Baby steps in the AI-guided design of proteins to modulate gene transcription’. This webinar took place on 11 November 2025 and is part of the series 'Leveraging deep learning to design custom...

This record includes training materials associated with the Australian BioCommons workshop ‘Machine Learning in the Life Sciences’ which took place on 19 - 20 August 2025.
Event description
Machine learning promises to revolutionise life science research by speeding up data analysis, enabling...

A collection of training events and materials that relate to using R to provide training and background on helping me make my research reproducible.