Research skills can be technical in nature, for example, working with specific methodologies or data analysis techniques. Other skills are specific to the requirements of preparing and submitting your thesis, and still others relate to the ethical requirements and responsibilities of conducting and disseminating your research. The opportunities provided through the Career Development Framework address the latter two types of research skills; those that will ensure that you conduct and share your research ethically, and those that will assist you through the research experience including preparation and submission of your thesis.

The Graduate School works with a range of esteemed providers who are the best in their fields to deliver sessions that draw from diverse disciplines and expertise. These providers include:

UQ Library Institute for Social Science Research (ISSR) Queensland Cyber Infrastructure Foundation (QCIF)

Categories that focus on the development of research skills include:

Multiple UQRDM sessions for researchers and research students

14 February 2024 10:00am31 December 2024 10:15am
These sessions are run by the Library and will aid candidates in navigating the UQRDM.

Statistical comparisons using SPSS (QCIF) [webinar]

11 October 2024 9:00am5:00pm
This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. Prior knowledge of SPSS is required.

R for reproducible scientific analysis (QCIF) [webinar]

14 October 2024 9:00am17 October 2024 12:30pm
An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

Mindmapping research: Coping with info overload [St Lucia]

14 October 2024 10:00am1:00pm
Learn how to manage your research and cope with information overload. [Formerly called Organising your research with concept maps and graphic organisers]

Survey design (ISSR) [webinar]

15 October 2024 9:00am12:00pm
Learn about this common method. The session focusses on the considerations of creating a survey.

Research integrity in HDR training (student only session) [St Lucia]

17 October 2024 10:00am11:30am
Learn about research integrity policies, advisors' and candidates' main obligations through a discussive, interactive session using real life scenarios. [This workshop differs from the mandatory online Research Integrity module which must still be completed as part of the Early Candidature Checkpoint.]

Principles of Research Design (ISSR) [webinar]

21 October 2024 9:00am1:00pm
Learn the basics of research design which is a key component of any research study.

Exploring and predicting using linear regression in R (QCIF) [webinar]

22 October 2024 9:00am5:00pm
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.

RNA Seq analysis using Galaxy (QCIF) [webinar]

24 October 2024 9:00am5:00pm
This practical workshop will introduce the specific skills and applications used in the analysis of RNA-Seq gene expression data.

Containers for Reproducible Computational Environments (QCIF) [webinar]

29 October 2024 9:00am12:30pm
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.

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Predicting Binary Outcomes using Logistic Regression (QCIF) [webinar]

3 October 2024 9:00am12:30pm
The course will cover the principles of logistic regression and includes practical sessions getting hands-on experience of logistic regression in R. You will require prior expertise in R and a basic familiarity with statistical hypothesis testing and regression analysis to attend.

What DO examiners want? [St Lucia]

1 October 2024 1:00pm3:00pm
What are examiners looking for in your written thesis and oral examination (viva)? How or what should you prepare? This workshop is also available in the webinar delivery mode. Please ensure that you are correctly registered in your chosen mode to receive the relevant workshop notifications.

Working with Sensitive Data (QCIF) [webinar]

1 October 2024 9:00am11:30am
This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. The workshop is particularly relevant for clinical, environmental, and ecological researchers, but is applicable to all fields of research.

Introduction to systematic reviews [webinar]

24 September 2024 1:00pm2:30pm
This workshop covers systematic reviews that can be used in both qualitative and quantitative studies.

Plotting and programming with Python (QCIF) [webinar]

23 September 2024 9:00am26 September 2024 12:30pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

Statistical comparisons using R (QCIF) [webinar]

20 September 2024 9:00am5:00pm
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.

Introduction to longitudinal data analysis (ISSR) [webinar]

18 September 2024 9:00am12:00pm
Learn about longitudinal data analysis.

R for reproducible scientific analysis (QCIF) [webinar]

9 September 2024 9:00am12 September 2024 12:30pm
An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

Introduction to NGS platforms and bioinformatics analysis (QCIF) [webinar]

3 September 2024 9:00am5:00pm
This hands-on practical workshop is an introduction to next generation sequencing technologies and how they work, providers, common bioinformatics workflows, standardised file types, quality control and an introduction to Galaxy Australia.

Analysing qualitative data (ISSR) [webinar]

27 August 2024 9:00am1:00pm
Learn about analysing qualitative data.

Collecting qualitative data (ISSR) [webinar]

26 August 2024 9:00am12:00pm
A brief introduction into qualitative data collection.

Plotting and programming with Python (QCIF) [webinar]

19 August 2024 9:00am22 August 2024 12:30pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

Introduction to Regression modelling (ISSR) [webinar]

19 August 2024 9:00am12:00pm
Learn about simple and multiple regression models.

Long-read assembly using Galaxy (QCIF) [webinar]

16 August 2024 9:00am12:30pm
Explore how long and short read data can be combined to produce a high-quality ‘finished’ bacterial genome sequence. Termed ‘hybrid assembly’, we will use read data produced from two different sequencing platforms, Illumina (short read) and Oxford Nanopore Technologies (long read), to carry out de novo genome assembly.

Statistical comparisons using R (QCIF) [webinar]

12 August 2024 9:00am13 August 2024 12:30pm
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.

Understanding quantitative data and performing descriptive analyses (ISSR) [webinar]

7 August 2024 9:00am12:00pm
This course is intended for HDR students who are new to working with quantitative data, or would like to refresh the basics.

Longitudinal and mixed model analysis using R (QCIF) [webinar]

23 July 2024 9:00am5:00pm
This practical workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data. Participants must know R and be familiar with the concepts of statistical hypothesis testing and regression analysis.

R for reproducible scientific analysis (QCIF) [Webinar]

9 July 2024 9:00am12 July 2024 12:30pm
This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. This event is split up over four mornings. Please do not sign up unless you are able to attend all four sessions.

Single-cell RNA Seq analysis using Galaxy (QCIF) [webinar]

4 July 2024 9:00am5:00pm
This hands-on workshop will cover the basics of single-cell RNA-Seq analysis, using the Galaxy platform. Starting from a table of gene counts we will evaluate, filter, annotate and visualise the data. We will also cover clustering, cell type identification and differential expression. No prior experience with Galaxy required.

Understanding quantitative data and performing descriptive analyses (ISSR) [webinar]

16 November 2023 9:00am12:00pm
This course is intended for HDR students who are new to working with quantitative data, or would like to refresh the basics. REGISTRATION IS REQUIRED AND WILL OPEN ON 3 NOVEMBER AT 12PM.

Introduction to HPC (QCIF) [webinar]

13 November 2023 9:00am1:00pm
This interactive workshop will introduce you to HPC. You *must* have access to an HPC cluster to attend the course; basic experience with Unix or Linux is highly recommended. REGISTATION IS REQUIRED AND WILL OPEN 13 SEPTEMBER AT 12 PM.

Version control with Git (QCIF) [webinar]

15 August 2023 9:00am12:30pm
Version control is the lab notebook of the digital world. learn how you can record and trace every change made to a document, be it software code or a thesis. Prior knowledge of UNIX/Linux command line is REQUIRED. REGISTRATION IS REQUIRED AND WILL OPEN ON 15 JUNE AT NOON.