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their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The School of Mathematics and Statistics currently has more than ninety continuing academic staff and more than thirty research staff as
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leadership in the conceptualisation, design, and analysis plans for competitive grant applications. Lead the development of robust study designs, sample size calculations, and statistical methodologies
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to Research Committee members. Where suitable, supervise HDR candidates. What we’re looking for: Demonstrated expertise or qualification in statistics and quantitative research methodologies. Strong record
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. This role provides an exciting opportunity to apply advanced machine learning and statistical modelling techniques to large-scale, high-dimensional eDNA datasets collected from Australian coastal and deep-sea
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with mixed‑methods designs, including survey design, interviews/focus groups, and classroom/online learning studies technical skills in data analysis (e.g., r or python), statistics, and learning
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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assist with the preparation of project reports, conference presentations, and journal manuscripts (including data management/preparation, statistical analysis, visualisation, and writing) assist with
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performance of the functions of this position. Desirable: A doctoral qualification in a relevant discipline (e.g. astronomy, astrophysics, physics, statistics, or computer science). Experience working with
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the academic promotions process. About You Completion or near-completion of Ph.D. in Genomics, Statistical Genomics, Quantitative Genetics, Computational Biology, or a related field. Expertise with genomic data
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The Hannan Medal recognises outstanding contributions to research in any of the fields of statistical science, pure mathematics, applied mathematics and computational mathematics and is made in one of those