114 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" 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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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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, 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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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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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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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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particular for disorders affecting the retina, including inherited retinal degeneration (https://www.kcl.ac.uk/research/ocular-cell-and-gene-therapy-group). We are currently working up to conducting a first-in
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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