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Mathjobs.org | about 1 month ago
, asymptotic laws for diffusion processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed
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. Your Responsibilities • Independent research and publication activities in the field of mathematical optimization with focus on nonsmooth optimization, stochastic optimization, or optimal control of
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, asymptotic laws for diffusion processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 11 hours ago
Stochastic Optimal Control”. Background or expertise in one or more of the following areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of
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-supervised learning. Familiarity with neuroscience, or ethology is a plus. Position 2 — additional desirable expertise: reinforcement learning, imitation learning, optimal control, dynamical systems, or
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monitor and quantify feedstock properties, then adapt the resulting metamaterial, to better control the manufacturing process. The end result will be prototype metamaterials that can be manufactured to
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) incorporating symmetries and constraints into neural network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control
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focuses on experimentally demonstrating coherent spin shuttling, shuttling-compatible high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from
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motor control, behavioral readouts across species offer the potential to overcome one grand challenge in neuroscience: bridging the gap between molecular, cellular, and systems levels. Importantly, the
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cutting-edge research in optimal control theory, differential game theory, mean-field game theory, and mean-field-type game theory, developing advanced mathematical frameworks and computational methods