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Field
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: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Health Tech With a vision to improve health and quality of life through technology, DTU Health Tech
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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conferences, and actively participate in knowledge exchange across disciplines. As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Materials Science and Engineering
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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predictive control, and/or reinforcement learning. PhD (or soon to be completed) in engineering, applied mathematics, or computer science, with an ability to start in mid-late 2025 a research track record
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. citizenship and the ability to manage Controlled Unclassified Information (CUI) are strongly desired. If you have received your PhD and are interested in learning more about this opportunity, please apply by
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, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source
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DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position
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of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control