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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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central London in the School of Biomedical Engineering and Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the planned work
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians at Great Ormond
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Pharmaceutical Sciences, Cardiovascular and Metabolic Medicine & Sciences, Life Course & Population Sciences, Basic & Biomedical Sciences, Biomedical Engineering & Imaging Sciences, and Immunology & Microbial
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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highly motivated and collaborative Programme Manager to lead the coordination and delivery of the Ultra-low-field Neuroimaging In The Young (UNITY) Network at the Centre for Neuroimaging Sciences, King’s
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mechanical or mechatronics engineer with experience in robotics and physical system development to join Prof Christos Bergeles’ Group in the School of Biomedical Engineering & Imaging Sciences, King’s College
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About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS), is one of six schools that make up the Faculty of Life Sciences & Medicine (FoLSM) at King College London. The School
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13485, IEC 62304 Regulatory affairs supporting MedTech start-up organisations This post will be embedded in the School of Biomedical Engineering & Imaging Sciences, a vibrant community of engineering
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About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) is one of six schools that make up the Faculty of Life Sciences & Medicine (FoLSM) at King College London. The school