11 3-phd-positions-in-computer-science-artificial-intelligence Postdoctoral positions in United Arab Emirates
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by
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, Behavioral Economics, Human-Bot interaction, Experimental Research, Game Theory, and Artificial Intelligence. Some of the research topics that excite us as a group include: (i) Ethics of AI and Automation; (ii
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are passionate about any or all of the following: Data Science, Computational Social Science, Behavioral Economics, Human-Bot interaction, Experimental Research, Game Theory, and Artificial Intelligence. Some of
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in