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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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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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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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. 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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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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statistical or analytical software (e.g. SPSS, R, SAS, STATA), and the effective use of standard computing and administrative tools. Highly developed interpersonal, communication, and collaboration skills, with
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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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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