146 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at King's College London
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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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sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us. King’s Careers & Employability (KC&E) empowers over
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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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grounds covered by the UK Equality Act (2010) who will be appropriately supported in the workplace. This role is full time and you will receive an indefinite contract. About the Faculty: https
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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
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About Us The role sits within the School of Biomedical Engineering & Imaging Sciences, and specifically within the MRI Clinical Research Department based at St Thomas’ Hospital. The School
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& Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scmms ). We study the
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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in Europe devoted to the study and prevention of mental illness and brain disease. The IoPPN pioneers research into new and improved ways of understanding and treating mental ill health (http
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students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans