Graduate School Career Development Framework

QCIF sessions

Looking to equip yourself or brush up on biostatistics and bioinformatics knowledge? QCIF is a collaboration of different universities, of which, UQ is a proud member. The Graduate School has subscribed to selected QCIF courses that are open to UQ HDR candidates only, because these spaces are funded by the Student Services and Amenities Fees paid by UQ HDR candidates. Spaces are highly limited and registration through Student Hub is compulsory; walk-ins will be turned away at the door. Registration opening dates are indicated in the Session information.

Genome annotation with Apollo [webinar]

30 November 2023 9:00am–12:30pm
 
in Bioinformatics and genomics
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 IS REQUIRED AND WILL OPEN 30 SEPTEMBER AT 12PM.

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

28 November 2023 9:00am–12:30pm
 
in Statistics and modelling
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. REGISTRATION IS REQUIRED AND WILL OPEN 28 SEPTEMBER AT NOON.

Statistical comparisons using SPSS (QCIF) [webinar]

17 November 2023 9:00am–5:00pm
 
in Statistics and modelling
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. REGISTRATION IS REQUIRED AND OPENS 17 SEPTEMBER AT 12PM.

Introduction to HPC (QCIF) [webinar]

13 November 2023 9:00am–1:00pm
 
in Research software and programming
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.

R for reproducible scientific analysis (QCIF) [Webinar]

6 November 2023 9:00am–9 November 2023 12:30pm
 
in Research software and programming
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.

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

1 November 2023 9:00am–1:00pm
 
in Bioinformatics and genomics
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. REGISTRATION IS REQUIRED AND WILL OPEN ON 1 SEPTEMBER AT 12PM.

Introduction to SPSS (QCIF) [webinar]

31 October 2023 9:00am–5:00pm
 
in Research software and programming
This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. REGISTRATION IS REQUIRED AND WILL OPEN 31 AUGUST AT 12PM.

Plotting and programming with Python (QCIF) [webinar]

23 October 2023 9:00am–26 October 2023 12:30pm
 
in Research software and programming
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.

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

19 October 2023 9:00am–5:00pm
 
in Statistics and modelling
This hands-on SPSS workshop introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. 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. REGISTRATION IS REQUIRED AND OPENS 19 AUGUST AT 12PM

RNA Seq analysis using Galaxy (QCIF) [webinar]

18 October 2023 9:00am–5:00pm
 
in Bioinformatics and genomics
This practical workshop will introduce the specific skills and applications used in the analysis of RNA-Seq gene expression data.

Intro to the Unix Shell (QCIF) [webinar]

16 October 2023 9:00am–17 October 2023 12:30pm
 
in Research software and programming
This practical hands-on workshop will help participants to automate processes or use ‘command line’ research software, including using high performance and parallel computing facilities. No previous Unix or command line experience is required. Please do not sign up unless you are willing to attend both morning sessions in full. REGISTRATION IS REQUIRED AND WILL OPEN ON 16 AUGUST AT 12PM

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

4 October 2023 9:00am–5:00pm
 
in Statistics and modelling
This interactive online workshop deals with longitudinal data and its analysis. Participants MUST know R and be familiar with the concepts of statistical hypothesis testing and regression analysis. REGISTRATION IS REQUIRED AND WILL OPEN ON 4 AUGUST AT 12 PM.

Plotting and programming with Python (QCIF) [webinar]

25 September 2023 9:00am–28 September 2023 12:30pm
 
in Research software and programming
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. REGISTRATION IS REQUIRED AND WILL OPEN ON 25 JULY.

Containers for Reproducible Computational Environments (QCIF) [webinar]

21 September 2023 9:00am–12:30pm
 
in Research software and programming
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. REGISTRATION IS REQUIRED AND OPENS ON 21 JULY AT 12PM.

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

20 September 2023 9:00am–5:00pm
 
in Bioinformatics and genomics
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.

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

19 September 2023 9:00am–5:00pm
 
in Statistics and modelling
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. REGISTRATION IS REQUIRED AND OPENS 19 JULY AT 12PM.

Statistical comparisons using R (QCIF) [webinar]

15 September 2023 9:00am–5:00pm
 
in Statistics and modelling
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.

R for reproducible scientific analysis (QCIF) [webinar]

11 September 2023 9:00am–14 September 2023 12:30pm
 
in Research software and programming
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 11 JULY AT NOON.

Statistical comparisons using R (QCIF) [webinar]

8 August 2023 9:00am–5:00pm
 
in Statistics and modelling
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. REGISTRATION IS REQUIRED AND OPENS 8 JUNE AT 12PM.

R for reproducible scientific analysis (QCIF) [webinar]

7 August 2023 9:00am–10 August 2023 12:30pm
 
in Research software and programming
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.

Plotting and programming with Python (QCIF) [webinar]

24 July 2023 9:00am–27 July 2023 12:30pm
 
in Research software and programming
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 9:00am–14 July 2023 12:30pm
 
in Research software and programming
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.

Plotting and programming with Python (QCIF) [webinar]

26 June 2023 9:00am–29 June 2023 12:30pm
 
in Research software and programming
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 (CDF) [webinar]

20 June 2023 9:00am–5:00pm
 
in Statistics and modelling
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.