73 machine-learning-"https:"-"https:"-"https:"-"https:" uni jobs at King's College London
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symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner
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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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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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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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AI, machine learning, and deep learning. This is a fixed-term position, with the potential for extension. This is a full-time post 35 hours per week, and you will be offered a fixed term contract until
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advanced quantitative and/or qualitative research methods, including AI or machine-learning based approaches. Ability to design, deliver and assess teaching at postgraduate and undergraduate level, with a
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of Psychological Medicine focuses on the interface between psychiatry and medicine, psychiatry and occupation, psychiatry and the military, and psychiatry in different settings. The disorders of interest are those
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. We are looking for a computer scientist with expertise in both front-end and back-end development. Specifically, the objectives of the post holder will be to develop a smartphone app to instruct
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orders and invoicing. Highly computer literate and demonstrable ability to use the Microsoft Office, including Excel, Word, SharePoint and Teams. Desirable criteria Prior experience supporting NHS/academic