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Council and UNSW Sydney. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential
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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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and education projects. You will contribute to study design, data collection and analysis, stakeholder engagement, and knowledge translation activities. This is an excellent opportunity to develop your
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women. Perform advanced statistical analysis of cohort studies and meta-analysis of published literature to achieve project outcomes specified in the project work plan. Prepare applications for data
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with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
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independent and collaborative research aligned with the project. Undertake literature reviews, data analysis, and research activities using appropriate methods. Disseminate research outcomes through
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solving and resolution to any evolving problems related to design, implementation and analysis. Maintain and manage lab and field supplies and assist with management of lab finances. Build equipment
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our team. The Research Fellow is expected to carry out independent and team research relevant to alcohol epidemiology, including the design and analysis of longitudinal cohort studies, and to undertake
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Fellow, Statistician (Level C) is expected to provide leadership of the statistical analysis work for a project on neuroendocrine risk factors for Alzheimer’s disease and dementia. An academic
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analysis. Support the management of a large, multi-stakeholder research program. Contribute to advocacy through data and policy-relevant insights. The role offers flexible working arrangements, with