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doctoral qualification (or equivalent experience) in a relevant discipline Strong quantitative analysis skills (R, Stata, or SPSS), with a track record of research outputs Experience in health services
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R and Python and AI software and a willingness to adopt new technologies will also support your success. If you're passionate about research that informs better science and you're ready to contribute
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publications. It involves conducting systematic reviews and working with analytical software such as R or Python, with a focus on both independent and collaborative research. The role also requires experience in
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AEST (Job Reference Number: R-51455).
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experience with analytical software like Stata, R, or Python, are essential. The ideal candidate will also have experience with geospatial tools. Additionally, you will have experience designing and managing
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of bioinformatics (RNA-seq pipelines, Python/R) and sequencing technologies (nanopore, single-cell, ATAC/ChIP-seq). Knowledge of genetic regulation and lncRNA function in immune contexts Excellent data analysis and
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, random forests, etc.), and languages like R, Python, or Julia for health data analysis. Experience in backend/frontend development, data visualization, and web apps using JavaScript, Python, and Linux
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diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Thursday 29 May 2025 at 11.00pm AEST (Job Reference Number: R-49462).
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diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Sunday June 8th 2025 at 11.00pm AEST (R-51522).
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for accessibility support or adjustments. Applications close 11th May 2025 at 11.00pm AEST (R-48998). Please note that interviews have been tentatively scheduled for 21st May.