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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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, synthetic biology, yeast genetics, or control theory is a plus but not necessary. Ph.D is required. For more information, please visit: https://scholar.princeton.edu/jlagroup. Princeton University is
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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activity patterns being associated with movements and others not. By using our novel techniques, that can drive precise patterns of activity distributed across many neurons, we can test different theories
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proposals to existing and prospective sponsors. Knowledge, Skills and Abilities: Knowledge on theory on free space optical communication, air turbulence and adaptive optics correction. Familiarity with
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application of engineering principles, theories and concepts as well as general knowledge of hybrid energy related disciplines and applications. The researcher will use a combination of conventional control
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interests that address but are not limited to interdisciplinary topics exemplified by Power Systems, Energy Storage, New Energy, Power Electronics, Statistical Learning Theory, Information Theory, Computer
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activity patterns being associated with movements and others not. By using our novel techniques, that can drive precise patterns of activity distributed across many neurons, we can test different theories
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. Additional duties as assigned. Knowledge, Skills and Abilities: Knowledge in scientific or engineering field related to Artificial Intelligence and Machine Learning. Knowledge in control theory and
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, United States of America [map ] Subject Areas: Probability theory, stochastic analysis, stochastic control, interacting particle systems, large deviations, highdimensional probability and asymptotic geometric analysis Appl