132 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "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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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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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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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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collaborations across leading institutions (KCL, UCL, and Stanford), supporting clinical trial-related activities of novel digital mind-body therapies, and facilitating research dissemination through publications
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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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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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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
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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