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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay, to delineate tissue types (bone/flesh/adhesives/other
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ONLY About Us The School of Biomedical Engineering & Imaging Sciences at King's College London is a cutting-edge research and teaching division, dedicated to the development, clinical translation, and
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flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so. The CiMAT (Centre for Imaging, Metrology and
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environment within the Division of Clinical Medicine and the Bateson Centre for Disease Mechanisms. We are seeking a highly motivated and experienced researcher to contribute to a newly awarded Versus Arthritis
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Term Division/Team: Department of Computer Science Hours Per Week: Full Time (1 FTE) Closing date (DD/MM/YYYY): 20/08/2025 Contract Duration: 36 months School/Directorate: School of Engineering We
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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A fully funded 3.5 years PhD position in the field of experimental nanoscience at surfaces and molecular imaging of conjugated polymers is available in the group of Prof. Giovanni Costantini at UoB
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, image segmentation) or machine learning interatomic potentials (MLIPs), or reinforcement learning algorithms in decision-making. Experience in SPM experiments is a bonus, but not essential. Project 2