19 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" uni jobs at KINGS COLLEGE LONDON in United Kingdom
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. This role is full time and you will receive an indefinite contract. The interviews for this role will be held at King's College London on 4 June. About the Faculty: https://www.kcl.ac.uk/artshums About the
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system may hold clues to how psychosis and other psychiatric disorders are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine
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contributing to multi-site or international collaborative research programmes, particularly in maternal, perinatal, or population health Experience applying machine learning or AI methods in healthcare research
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Learning Centre is seeking a Simulation Education Specialist to support the delivery of high-quality, clinically relevant simulation-based education across the Health Faculties. This professional services
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Emsley Contact Details: richard.emsley@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406291/-professor-of-early… Requirements Additional Information Work Location(s
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promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute/about/edit About the role The Research Assistant (Evaluation Officer) will support EDIT in
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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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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
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and access appropriate training and professional growth. About the role King’s College London’s Simulation and Interactive Learning Centre is seeking a Simulation Education Specialist to support the
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for Simulation and Interactive Learning Centre. Simulation and Interactive Learning (SaIL) at King’s College London is an entity within Florence Nightingale Faculty of Nursing, Midwifery & Palliative care