This seminar offers valuable insights into strategic career planning for academic researchers navigating the complexities of a global academic landscape. Participants will explore diverse career opportunities across academia, industry, government, and non-profits, using the ENRICH framework to...

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise,...

Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it’s easy to see why NVivo is becoming the tool of choice for many researchers.

NVivo allows researchers to...

Explore how trainers are teaching AI and ML to researchers

This interactive master-class offers early career researchers guidance on how to use the latest constructionist approaches which treat our data as instances of complex behaviours and hence complementary to quantitative research.

• Improving the quality of interview data analysis.
• Finding...

This record includes training materials associated with the Australian BioCommons webinar ‘Our journey incorporating AI into our cancer computational research’. This webinar is part of the webinar series 'AI in the life sciences: exploring possibilities, inspiring change' and took place on 11...

This documentation is a supplementary resource for researchers submitting a formal request for access to a dataset listed on the Health Data Australia (HDA) platform. This was developed as part of a work package for Health Studies Australian National Data Asset.

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