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contexts where multiple humans and multiple autonomous systems are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility
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-Doctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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, we create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep
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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
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(ZNZ) PhD Program. Postdoctoral researchers will be affiliated with the Institute of Neuroinformatics. Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line with our
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learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
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solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment
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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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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related