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for Big Data Research in Health (CBDRH), strategically partnered with the School of Clinical Medicine (Women’s Health) at the University of New South Wales, Sydney (UNSW). This positioning places the NPESU
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
research labs, and develop teaching and science communication skills. The Person We are looking for a qualified computer scientist or computational linguist with demonstrated expertise in training large
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 days ago
psychometric equivalence across languages and contexts. Collaborate with computer science colleagues to develop novel personality instruments for unstructured text data. Position Overview This post-doc
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complex information clearly both orally and in writing. Experience in qualitative research methods and analysis, in particular interviews, focus groups and facilitating large workshops (25+ people) with
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prevalence data biostatistics for clinical trials and cohort studies experience working with large, multi-wave datasets (e.g., ABS, AIHW, HILDA) reputation at a national level as influential in expanding
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of social dynamics. Motivating aims include the discovery and analysis of hidden large-scale patterns in data/models, elucidating mechanisms underlying the emergence of these large-scale phenomena and their
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to: lead advanced biostatistical and econometric analyses across large and complex health datasets contribute to the team’s publications, grant applications, and scholarly outputs manage and curate data
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key responsibilities will be to: Co-lead and potentially lead on research work in breast cancer prevention, including cancer screening, and undertake screening trials or large-scale cohort studies
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analytical skills in modelling time trends and prevalence data biostatistics for clinical trials and cohort studies experience working with large, multi-wave datasets (e.g., ABS, AIHW, HILDA) reputation at a
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the Institute for Marine and Antarctic Studies (IMAS). The ideal candidate would have extensive experience in modelling large-scale solid Earth geophysical processes and have a strong understanding of the physics