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findings at conferences and professional meetings Collaborate with leading researchers within and outside UVA Qualifications U.S. citizenship required Ph.D. in Data Science, Statistics, Computer
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. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc). Strong foundation in machine learning and data science. Programming skills with proficiency in Python, Java, and/or R. Preferred
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
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concepts; mathematics; written and computer documentation; data utilization, problem solving, critical thinking, and writing skills. Skills and abilities: Basic biochemistry techniques including but not
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13 Sep 2025 Job Information Organisation/Company Linnaeus University Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Sweden Application
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Application Deadline 15 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or