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:

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.

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

30 October 2024 9:00am5:00pm
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.

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