29 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at KINGS COLLEGE LONDON in United Kingdom
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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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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: david.jackson@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406107/research-assistant/… Requirements Additional Information Work Location(s) Number of offers
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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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@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406208/research-assistant-… Requirements Additional Information Work Location(s) Number of offers available1Company
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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