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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
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Requirements a) Strong skills in the areas of mathematical statistics, optimization, online learning, optimal control, and stochastic processes. b) Relevant experience in online learning theory, demonstrated by
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