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Field
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-career researchers. To be considered for this post, you must hold a PhD in epidemiology, biostatistics, or a related subject, with excellent knowledge of research methods in epidemiology and statistics
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, statistics/biostatistics, computer science, computational biology, Quantitative Genetics, bioinformatics, or a closely related quantitative data-intensive field. Demonstrated computational skills and
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industry partners. UniSC boasts strengths in pure mathematics (Algebra), mathematical modeling & simulation, biostatistics, and machine learning. Collaboration opportunities extend to computer science
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epidemiology/epidemiology, statistics/biostatistics, computer science, computational biology, Quantitative Genetics, bioinformatics, or a closely related quantitative data-intensive field. Demonstrated
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no direct reports. Skills Required: A PhD in a related discipline, and/or relevant work experience. A strong grounding in epidemiology or biostatistics through course work, research or other experience is
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and across the University, encompassing areas such as Statistical Modelling, Computational Statistics, Biostatistics, Astrostatistics, Medical Statistics, Statistical Image Analysis, and Statistical
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collaborations within the School and across the University including but not limited to Astrostatistics, Biostatistics, Computational Statistics, Medical Statistics, Statistical Image Analysis, and Statistical
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including evidence-based medicine, biostatistics, health technology assessment, economic evaluation methods, economic modelling, data management, implementation science and data analytics. The selection
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the highest student satisfaction in Victoria and consistently ranked in the top 1% of the world's universities. The Biostatistics Unit is responsible for providing expert biostatistical support to multi
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on research. Through initiatives like the Data for Decisions program, we ensure privacy while leveraging electronic medical record data. Our research focuses on biostatistics, implementation science