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changes, and delivering personalised healthcare. CHI leads multiple large-scale NHMRC and industry projects and in 2018 founded the Australian Alliance for AI in Healthcare. We partner with major healthcare
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combination between academic research and project/ stakeholder management, including the ability to switch between data collection and analysis, and developing proposals for continued collaboration and funding
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month 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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24 Nov 2025 Job Information Organisation/Company LA TROBE UNIVERSITY Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) Country Australia Application
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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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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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opportunity CSIRO has collected large amounts of valuable environmental DNA (eDNA) data and now has the chance to use this data to transform how we observe and protect marine ecosystems. Towards this end, CSIRO
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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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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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statistical genetics to uncover the genetic and environmental aetiology of complex traits and diseases using large-scale cohorts and datasets. Our focus spans maternal health, early-life genetics, and how