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looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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, internal salary equity, candidate experience and qualifications, and budget constraints. Apply: https://uic.csod.com/ux/ats/careersite/1/home/requisition/19398?c=uic&sq=postdoc About the University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
students, and collaborate with AI faculty in vision, robotics, and machine learning across the department. Minimum Education and Experience Requirements Applicants should have, or expect to receive before
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science, data science, computer science, robotics, natural language processing, computer vision, optimization, or a related field A keen interest in, or background studying, the role of leadership in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ Who we
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advanced robotics to screen libraries of M. tuberculosis for drug tolerance and drug resistance phenotypes. Performs MIC testing, kill curves and other microbiological tests to characterize M. tuberculosis