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Apply now Job no:535796 Work type:Full Time Location:Sydney, NSW Categories:Lecturer, Senior Research Associate Research Fellow (National Perinatal Epidemiology and Statistics Unit) Employment Type
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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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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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-associated omic features, with the ultimate goal of defining the underlining ancestral contribution. The successful candidate should have a PhD in Population genomics and statistical applications, with a
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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 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
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states and transitions, ecosystem mapping and modelling and ecological dynamics across spatiotemporal scales. A demonstrated a strong statistical background for accuracy assessment and validation
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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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physiology and medicine to contribute to research strategy measure physiological and structural variables within cardiovascular and related functions, managing and analysing data, statistical analysis