120 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at King's College London
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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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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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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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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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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us The post will be based at Guy’s Campus of King’s College London. The successful candidate will work with Professor James Arnold (https
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patients in Dr Sreedharan’s clinic. In the lab, the student will learn a broad pallet of techniques to enable them to perform cutting-edge research to develop urgently needed treatments for ALS. The student
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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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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us **About the Faculty ** https://www.kcl.ac.uk/dentistry About the Centre for Host-Microbiome Interactions https://www.kcl.ac.uk/dentistry