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simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability required to analyse and improve
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potential constraints affecting protected species. These activities will support ongoing natural resources management objectives by contributing field-based data, technical observations, and research findings
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associated health risks. Together with supervisors, the PhD Research Fellow, will contribute to the finalization of the test protocol and will be responsible for collecting physiological data that provide
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
disadvantage on educational outcomes. This role will have a particular focus on leading statistical analysis of large population linked data. The Postdoctoral Fellow is expected to contribute towards
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-depth literature reviews, analyze large data sets, develop educational materials, evaluate program outcomes, and contribute to research-oriented activities while gaining practical experience. In addition
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outcomes. • Support or lead “big data” analyses to identify areas with low testing coverage and inform placement/targeting of community-based HIV testing. • Integrate, clean and harmonize multiple data
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analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000
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. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations of these. Applicants
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processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
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the use of large administrative data to understand and address inequality. OI has published seminal work on national trends in upward mobility ; racial disparities; the role of neighborhoods, social capital