118 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at King's College London in United Kingdom
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well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have experience working in Data
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About us **About King’s Digital ** Our mission is to provide transformative, high-quality digital education, so students can learn, wherever they are. We collaborate with academics and professional
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groundbreaking symbiosis of cutting-edge AI combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is
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of therapeutic response, and detection of drug resistance. About The Role The successful candidate will evaluate novel PET tracers to the detection of CAR T-cell’s biodistribution and behaviour in preclinical
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us About King’s Digital Our mission is to provide transformative, high-quality digital education, so students can learn, wherever they are. We
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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academic staff are organised across 7 Science Schools plus the Centre for Education. For more information please see the Faculty’s webpages: https://www.kcl.ac.uk/lsm/index About SUSTech SUSTech is a public
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publications or conference presentations (either as first-author or as a co-author) Machine learning and/or computational modelling experience Experience with brain network modelling and analysis Experience
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of knowledge in the subject of Robotics to develop research in the field, e.g., robot design, control and mechatronics; 4. Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T
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Familiarity with immune profiling and systems immunology in infectious diseases or critical illness, including sepsis Experience with machine learning approaches for biomedical datasets Planning and preparation