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modelling and machine learning to join and lead a dynamic international team of early-career researchers. This exciting role is part of a cutting-edge project investigating the structural integrity
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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
, attention-based models, and multi-modal learning approaches—to model RNA-mediated regulatory mechanisms and their dynamic interactions in disease. The position is part of an NHMRC Ideas Grant project
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Research Fellow in Neurocognition & Modelling Job No.: 684026 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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policy, systems and management, gender and health, occupational health, and public health practice. This position is to support an ARC funded project (DP250100393) focussed on developing a model of
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practice. This position is to support an ARC funded project (DP250100393) focussed on developing a model of sustainable work to enable long working lives. This project aims to build a contemporary post-covid
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Research Fellow in Earth System modelling Job No.: 682250 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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modelling and data analytics, and help shape policy that improves lives. As a Research Fellow, you will: Conduct applied research in health economics, particularly focused on economic evaluation, cost
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processes in Australia. The second will involve a climate or biodiversity deliberative assembly based in Europe. Your key responsibilities will be to: document and analyse existing models of MtHR and what is
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epidemiological study designs and biostatistical modelling approaches to a broad range of health and environmental data. The team address policy relevant research with a focus on translating the results
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and