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into growth and optimization of films. This project involves collaborating with theoretical and experimental groups within and outside NYU. Team work, good communication skills and discipline in summarizing
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manifolds, to optimize robot trajectories and enhance interaction safety and robustness. Learning for Human-Robot Interaction: Integrate machine learning techniques, such as reinforcement learning and
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, robust optimization, deep learning for systems, probabilistic data management, or decision-making in uncertain environments are a prerequisite. Successful candidates will also demonstrate a capacity to
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demonstrated experience in discrete choice models, machine learning techniques, big data, and optimization. For consideration, applicants need to submit a cover letter with reference to the position(s) they
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approaches to improve the diagnosis and therapy of metabolic, cardiovascular, and neurologic diseases. These projects entail computational modeling, device design and manufacturing, optimization of chemical
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
of metabolic, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and
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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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focuses on designing optimization, estimation, signal processing, and machine learning algorithms for closed-loop biomedical and neural engineering applications. New York University (NYU) is one of the top
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from equilibrium quantum systems with a particular focus on applications in neutral atom quantum computing. Topics of interest include but aren’t limited to, quantum optimal control of noisy quantum