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heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behavior, and for make sense of context. We combine fundamental, experimental, and applied research, and
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prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements
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work on search engines, on recommender systems, and on conversational assistants. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behavior
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batteries (solid-state) via a physics-informed data-driven approach. Accurate prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety
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tools to improve flood prediction, strengthen risk assessment, and support the implementation of effective flood management strategies across the EMR. You will also develop and benchmark modelling
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of critical hydraulic infrastructure during extreme events. You will develop and test new tools to improve flood prediction, strengthen risk assessment, and support the implementation of effective flood
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resolution); To what extent do physiological reactions predict choice behavior, doubt, and moral reflection? Job description During the project, you will work closely with Dr. Robin Bouwman. The postdoc