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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models
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and the statistical analysis of population and linked health data. Demonstrated experience in the management and analysis of large complex linked data. Experience in prediction modelling and/or causal
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to continually achieve research excellence as well as the capacity for research leadership. Please refer to the position description for full details. Pre-employment checks required: Verification of qualifications
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modelling of cohort studies to identify risk factors and produce individual and population-based estimates. Participate in and/or present at conferences and/or workshops relevant to the project as required
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have: A PhD in Statistics and relevant work experience in developing risk prediction models for Alzheimer’s Disease and dementia through secondary analysis of biobanks and cohort studies. Evidence of
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Position Description can be found on JOBS@UNSW . Applications close:11:30pm on the 5th of October, 2025 Please note: The successful applicant will be required to complete standard pre-employment checks
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this position, and view the comprehensive responsibilities, skills and criteria list, a copy of the Position Description can be found on JOBS@UNSW . Pre-employment checks required for this position
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. Please refer to the position description for full list of Skills and Experience. Pre-employment checks required for this position Verification of qualifications UNSW Benefits and Culture 17% Superannuation