91 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs 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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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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for King’s Engineering. We offer undergraduate and postgraduate education, with a distinctive approach, combining traditional teaching methods with modern, project-based learning, catering for the needs of our
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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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research into new and improved ways of understanding and treating mental ill health ( http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s largest
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skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning approaches. Experience in
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AI foundations and machine learning to learners from varied academic and professional backgrounds. 3. Ability to develop and deliver high quality and innovative teaching, including teaching
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of understanding and treating mental ill health ( http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s largest academic groupings of clinical and health
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focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation) Applied machine learning and deep learning
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the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London. About the role We are looking to appoint a full-time (1.0 FTE) Research Associate to work