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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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to further develop the initiative. Developing the Scholar’s own research program Please note this is a two-year appointment with an expected start date of July 1, 2025. Compensation, Benefits, and Perks
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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in the research and management of the Computational Materials Discovery group. You supervise and guide students at the bachelor, master and PhD level. You contribute to the teaching activities in
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: This position may require work beyond normal office hours and/or work on weekends Qualifications Required Education Appropriate PhD in a related field. Preferred Qualifications Prior experience in computational
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion