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their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The School of Mathematics and Statistics currently has more than eighty continuing academic staff and more than thirty research staff as
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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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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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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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-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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settings. strong experience in biostatistics and data analysis focused on applying large datasets and novel and advanced statistical models in physiotherapy intervention research experience contributing
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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