141 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" 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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generative Large Language Models (LLMs), as well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals
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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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science. The successful candidate will be appointed to the Cybersecurity (CSY) group, where our work on cryptography sits, and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk
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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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Professor Nicola Fear, CBE. For more information, please see https://kcmhr.org KCMHR in partnership with RAND Europe runs the Centre for Evidence for the Armed Forces Community, funded by the Forces in Mind
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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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members and 110 PhD students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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project experience is also welcomed. For more information on the entry requirements and fees please visit our website. https://www.kcl.ac.uk/study/postgraduate-research/areas/cancer-and-pharmaceutical