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clinical research with the primary aim of improving health services for Veterans, particularly in the areas of blood pressure control, acute and chronic kidney disease, antibiotic stewardship, and
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workflows for grid modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The
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approaches such as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will
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machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will
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machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will
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machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will
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postdoctoral researcher will modify an existing GIS-based multicriteria decision support tool in order to designate optimal areas for offshore windfarm development from Clew Bay to the north coast of the
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reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches
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years. The position is available from 1 January 2027, but for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further
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reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches