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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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publication record is encouraged and previous experience in areas such as Distributed control and optimization, Swarms, Autonomous Robots, Embedded systems development, Collaborative and adversarial control
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof
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in innovative research that includes: Geometric Control Algorithms: Develop and refine control strategies utilizing differential geometric methods, particularly Riemannian manifolds, to optimize robot
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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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into the hydration and carbonation reaction pathways of RMC, the Postdoctoral Associate will lead efforts to enhance the performance of EMCs, focusing on the optimization of phase formation, mechanical properties, and