34 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs at KINGS COLLEGE LONDON
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About us The King’s Health Partners Clinical Trials Office is a collaboration between King’s College London, Guy’s & St Thomas’ NHS Foundation Trust, King’s College Hospital NHS Foundation Trust and
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About us The King’s Health Partners Clinical Trials Office is a collaboration between King’s College London, Guy’s & St Thomas’ NHS Foundation Trust, King’s College Hospital NHS Foundation Trust and
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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, and over 8,500 employees. The Faculty of Life Sciences & Medicine (FoLSM) is configured as six Schools and the cross-cutting Centre for Education and it is located on four sites – Guy’s, St Thomas
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About us We are looking for a flexible, organised and collaborative colleague to organise deliver research fellowship funding opportunities and learning and development programmes for health
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the globe The largest dental academic centre in the UK, we teach over 1,000 undergraduate and postgraduate taught students, and over 100 graduate research students. As well as undertaking and actively
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About us The King’s Health Partners Clinical Trials Office is a collaboration between King’s College London, Guy’s & St Thomas’ NHS Foundation Trust, King’s College Hospital NHS Foundation Trust and
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division, dedicated to the development, clinical translation, and clinical application of medical imaging and computational modelling technologies. The School is placed within St. Thomas’ Hospital and
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are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine-learning to identify the treatment-relevant immune processes, with an emphasis