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. They will help to research the publicity and affordances of current mobile phone cameras, drawing on the latest theoretical and critical work in machine vision and critical AI studies, and using creative and
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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coastal hotspot areas, will embark on this innovation journey. Working within stakeholder alliances based on trust, they will co-design regenerative resilience visions, chart adaptation pathways, and
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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We are seeking a full-time Postdoctoral Research Assistant to join Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by KAUST and is fixed-term for one
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description (Fixed Term) Liverpool John Moores University (LJMU) is
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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About the role The Department of Paediatrics at the University of Oxford is looking for a motivated and highly organised Postdoctoral Researcher to help shape a new and ambitious research programme