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:

R for reproducible scientific analysis (QCIF) [webinar]

7 August 2023 9:00am10 August 2023 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. REGISTRATION IS REQUIRED AND OPENS ON 7 JUNE AT NOON.

Sensitive data management (QCIF) [webinar]

1 August 2023 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.

Plotting and programming with Python (QCIF) [webinar]

24 July 2023 9:00am27 July 2023 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.

R for reproducible scientific analysis (QCIF) [webinar]

11 July 2023 9:00am14 July 2023 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 longitudinal data analysis (ISSR) [webinar]

28 June 2023 9:00am12:00pm
Learn about longitudinal data analysis. REGISTRATION IS REQUIRED AND WILL OPEN ON 28 APRIL AT 12PM.

Plotting and programming with Python (QCIF) [webinar]

26 June 2023 9:00am29 June 2023 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]

21 June 2023 9:00am12:00pm
Learn about simple and multiple regression models. REGISTRATION IS REQUIRED AND WILL OPEN ON 25 APRIL AT 12PM.

Statistical comparisons using R (CDF) [webinar]

20 June 2023 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.

Principles of Research Design (ISSR) [webinar]

25 May 2023 9:00am1:00pm
Learn the basics of research design which is a key component of any research study. REGISTRATION IS REQUIRED AND WILL OPEN ON 25 APRIL AT 12PM

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

22 May 2023 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.

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