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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims
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/ translate animal-model insights to morphogenesis and evolution / collaborate in the innovative TREE Lab Apply now to drive impactful developmental biology research and accelerate your postdoctoral career in a
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examine how current hydrologic modelling platforms that use Potential Evapotranspiration as an input reproduce observations of evapotranspiration. This role will work with state-of-the-art regional climate
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psychology, linguistics, or a closely related discipline for the computational modelling stream: prior publications in computational modelling for research on Formosan languages: excellent spoken and written
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be in support of a project to develop and demonstrate micro-scale intracranial probes to sense the extremely small magnetic fields resulting from the currents flowing along nerve cells due to brain
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mechanics, molecular modelling, and/or quantum thermodynamics would also be beneficial. Evidence of quality publications in reputable refereed journals and experience presenting at conferences. Evidence of
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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful
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industry partner, CSL Behring. These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
’ which involves the compilation of Australia attitudinal survey information, small-area modelling of demographic characteristics, and application of scenario modelling. This project aims to understand more