Search sessions by

Explore specific ideas, tools and techniques to navigate an academic career.

Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time collaborative, manual curation and genome annotation editing. In this workshop we will learn how to use Apollo to refine genome annotations. Registration closes 6 November at 9am.

Join the Graduate School for the opportunity to meet your fellow commencing candidates, Graduate School staff who will be assisting you in the HDR journey and also enjoying lunch within the beautiful St Lucia Campus.

The theme of this networking breakfast is Career Strategy: From HDR to beyond. This networking breakfast will help you to reflect on your career options – whether they be in industry, government or universities – and to identify useful strategies to get you to your desired career destination. Applications close 28 October 9:00am

Write a great resume tailored to your audience and learn how to respond to selection criteria.

Learn ideas relating to research design, descriptive statistics and inferential statistics.

This practical hands-on workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Prior knowledge of R is required. Please do not sign up unless you are able to fully attend both mornings.

Learn about analysing qualitative data.

A brief introduction into qualitative data collection.

Learn strategies to improve resilience in order to better manage the stresses and strains of life, both during the candidature and in your future professional life.

Increase your chances of a positive career on completion of your HDR.

Intellectual Property can be a valuable asset and understanding how to protect it will help you in your research career. This session will touch upon UQ’s IP policies, and the broader Australian and global context.

Research Bazaar Queensland 2024 welcomes researchers from all disciplines at all levels to come together and learn new skills in an interactive, collaborative and fun setting.

Find out how to generate workable ideas from your research and turn them into business opportunities. Be an idea pioneer!

Orientation is strongly recommended for all commencing HDR candidates, both domestic and international.

This session is compulsory for all newly commencing HDR students and is a requirement of your visa.

This hands-on SPSS workshop introduces principles and methods of regression models using SPSS, and how to interpret relationships between data. It covers basic principles of regression methods through to interpreting the output of statistical analyses. Prior expertise with SPSS is required. Participants are also expected to have a basic familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing.

Discover post-HDR career options and consider which is best for you.

Anyone interested in finding out more about containers and learning how to run research software from containers. Basic experience with Unix or Linux is required.

Learn to appraise and refine your own writing. (formerly called Writing to meet your readers' expectations as well as Cohesion, Linking, and Flow in your Writing).

This workshop will dispel the common myth that perfectionism is a good thing that is a characteristic of high achievers, and use a cognitive behavioural approach to overcoming perfectionist behaviours and thought processes.

This practical workshop will introduce the specific skills and applications used in the analysis of RNA-Seq gene expression data.

Learn how to communicate your methods and results for qualitative studies as well as communicate to address questions of rigour.

Interactive workshop to give you skills to prepare and maintain an outstanding CV. (previously known as Preparing your CV).

This highly interactive online workshop will provide attendees with a friendly, gentle introduction to the theory behind linear regressions in R. Prior experience with R and the RStudio interface is required, as well as familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing.