204 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at KINGS COLLEGE LONDON
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About Us The CRADLE SMART (Community empoweRment Approaches to Develop Local, Early Sustainable MAteRnity care with co-developed Technology) care bundle aims to empower women and health workers by
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in Biomedical Sciences or a related field. Responsibilities include managing daily lab tasks such as ordering supplies, maintaining organization, monitoring stocks, aliquoting, and assisting with
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engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
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About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in
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has undergone a period of rapid change, expanding in size over the last twelve months, and launching new programmes including an MSc in Health and Social Care Policy, and a programme for the Civil
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professional training programme, based in the Department of Psychology, School of Mental Health & Psychological Sciences (MHaPS), Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College
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About Us We are seeking to appoint a Clinical Reader or Professor of Neonatal Medicine to replace a retiring colleague to help lead a large scale programme of neonatal research in conjunction with
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area, e.g., Robotics, Computer Science, Artificial Intelligence
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, mathematics, chemistry, informatics and engineering. This role presents an exciting opportunity to run and develop the Nuclear Magnetic Resonance (NMR) service in the Chemistry department providing expert
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and Depression (GLAD) Study Mental Health Goals (MHG) OMICs Programme. This project represents the largest multiomics programme for severe depression worldwide, designed to accelerate discovery in