171 3-phd-positions-in-computer-science-artificial-intelligence Postdoctoral positions
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Field
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interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future
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Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous
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Hands on experience with fibre optics Commercial/spinout exposure Knowledge of Artificial intelligence Knowledge of optical coherence tomography Please note that this is a PhD level role but candidates
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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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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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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intelligence or machine learning projects or client problems. 3. Experience in computer science with a background in mathematics will be considered valuable. Desirable characteristics: Engineering experience in
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and not by artificial intelligence. About ETH ZürichETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting
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capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and