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This is a re-advertisement of vacancy 179305. Previous applicants need not apply About the role We are seeking a full-time Senior Developer in Computer Vision to join the Control Group at the Department of Engineering Science in central Oxford. The post is funded by the Engineering and...
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Applications are invited for the position of Researcher in Microscopy Image Analysis. The position is available for a fixed term of 12 months and is full time. The post holder will develop
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are seeking a Research Assistant to join a team working at the intersection of medical imaging and machine learning at the University of Oxford. This is an exciting opportunity to work across disciplines
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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, Headington. The post is funded by the BRC4 Imaging Theme and is fixed-term until 31 March 2026, with the possibility of an extension. Endoscopy plays a vital role in the detection of gastrointestinal cancers
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Calling all microscopists! We are looking to a recruit an enthusiastic Assistant Manager to the growing Cellular Imaging Core Facility at the Centre for Human Genetics. This role will centre around
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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. The purpose is to develop the image of the College as a community which offers a stimulating intellectual environment with a distinctive and inclusive programme of enjoyable events and to burnish its identity
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The University of Oxford is looking for a highly motivated and skilled Postdoctoral Research Assistant to join our dynamic and interdisciplinary imaging team. This position is part of an exciting
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how