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Fellow will work primarily on an NSF-funded project related to studying how well AI models understand human emotions. The scope includes questions like: how do machines reason about human emotions in
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discipline Relevant background includes any of: evolutionary genetics, phylogeography, landscape genetics/genomics, computational biology, statistics, applied mathematics, population modeling, evolutionary
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Council (ARC). You will develop a new model of electrical energy distribution, including renewable energy generation and electric vehicles. It will be used to optimize network resources across the grid
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computational theory, analysis, and modeling of neuroscience data and concepts. Proposals focused on disease mechanisms or that do not contribute to our understanding of non-disease states are not suitable
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direct air capture solutions by assessing and designing reclamation processes for liquid absorbents used in CO2 capture. You’ll work across modelling, experimentation and pilot-scale activities
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will demonstrate: A Masters or PhD in engineering, environmental science, or a closely related discipline Strong analytical and numerical capability, including experience with modelling, GIS and coding
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validation) of the fluid mechanics of a sample probe washing process in an immunoassay analyser system. The analysis methods will include computational multiphase fluid dynamics modelling, in laminar and
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: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
Selection Criteria: PD&PEWER_Academic B_Research Fellow.pdf About the opportunity This position is a fixed term for a period of up to 12 months to play a major role in building a model of hydrogen