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of Python libraries, building on existing prototypes. Construction of a computer vision pipeline to aid knowledge graph construction. Implementation of a prototype interface, developed with the design team
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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within the Department of Mechatronics and Biomedical Engineering, the postholder will play a central role in designing, testing, and optimising a modular hybrid energy–food–waste system combining
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science
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constituents of its microstructure. You will develop inverse-analyses of the in situ imaging experiments to extract the non-linear stress/strain relationships. You will design critical in situ X-ray and neutron
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-on experience with programming, medical imaging, engineering designs, and system integration. Your track record will demonstrate proficiency in the design, fabrication, and pre-clinical testing of innovative