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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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working at the intersection of computer vision, and 3D AI for the built environment. Our goal is to transform how physical environments and infrastructure are captured, analyzed, and monitored using
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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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Vision Group (PVG) at McGill University and Mila—Quebec Artificial Intelligence Institute, led by Prof. Tal Arbel, seeks Postdoctoral Fellows to advance causal-temporal and probabilistic modeling, 3D
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processing. * Knowledge of brain oscillations/beta bursts; experience with real-time/closed-loop setups is a plus. * Bonus: experience with laminar MEG / MEG; HMMs or state‑space modeling; computer vision
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years practical software engineering experience • Practical experience with computer vision, ML, or 3D scene understanding • Ability to work collaboratively across technical teams • US Citizen or