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research teams an emerging network of academic, industry or professional collaborators To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all
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with evidence of scholarly publications experience working collaboratively within academic or industry‑engaged research teams an emerging network of academic, industry or professional collaborators
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at the Charles Perkins Centre, as well as a national multidisciplinary network of researchers, clinicians, and stakeholders, you will contribute to research that aims to transform early detection, care pathways
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of
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experimental or functional validation demonstrated experience in protein-centric analyses, including protein interaction networks, signalling pathway modelling, proteomics or protein target screening background
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for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
, Wallumattagal Campus, North Ryde Collaborate with leading researchers and build your academic networks. About the Role We are seeking a Postdoctoral Research Associate in Exoplanet Science at Macquarie University
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methods (for example, learning-based, network-based, or agent-based approaches) to analyse dynamic decision behaviour, rather than focusing solely on predictive or optimisation performance prepare and
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-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative methods (for example, learning-based, network-based, or agent-based approaches