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sophisticated machine learning tools for image processing Experience in mathematical modelling Knowledge in comparative neuroscience (comparative vertebrate neuro) Proficiency in basic computer packages (eg
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Familiarity with immune profiling and systems immunology in infectious diseases or critical illness, including sepsis Experience with machine learning approaches for biomedical datasets Planning and preparation
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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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publications or conference presentations (either as first-author or as a co-author) Machine learning and/or computational modelling experience Experience with brain network modelling and analysis Experience
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. Department: Department of AI in Preventive Medicine. Contact details:Professor Josip Car. josip.car@kcl.ac.uk Location: Guy's Campus. Category: Research. About Us King’s College London is an internationally
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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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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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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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. 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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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