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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Position Title Post-Doc Research Associate - Center of Excellence for Eating Disorders (CEED) and Carolina Athletics Mental Health and Performance Psychology Program (MHPP) Vacancy ID PDS004696 Full-time
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and no long commutes. Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts , and long-term disability insurance with Texas A&M contributing to employee
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, 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 computational
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, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition
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development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical application and machine learning. Author of at least 2 research papers in topics
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-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic
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Application Deadline 3 Dec 2025 - 22:59 (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 programme
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(NCCN) Founding member of the Oncology Research Information Exchange Network (ORIEN) Robust clinical trials program with active translational therapeutics that include a clinical research unit, Phase 1
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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