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Field
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control of dynamic systems. Our work combines fundamental control theory with applications in areas such as transportation, environmental and biological systems, and electric power systems. The division
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 23 hours ago
applied to audio; and traditional signal processing. PREFERRED: Computational expertise: Experience with Pytorch, use of high-performance computing, experience with version control tools such as Github
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modelling, geospatial data science, generative modelling, mobility data analysis, or transport simulation, especially when combined with knowledge of complex systems, network science, resilience theory, urban
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 9 hours ago
their field of study Engage with new areas of basic and applied research Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community
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: Publications in A* venues in AI, machine learning, and data science. Experience with reinforcement learning, Markov decision processes and/or control theory. Experience in fundamental and applied AI/machine
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, Electromagnetics, RF Engineering, or a closely related discipline. Strong knowledge of electromagnetic theory, microwave engineering and antenna theory. Demonstrated experience in the design and modelling
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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Are you fascinated by atomic-scale control of materials for future semiconductor and energy technologies? We are looking for three ambitious postdocs to work on advanced atomic layer processing
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years