85 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Imperial College London
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are treated with full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to: http://www.imperial.ac.uk/research-and
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full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to: http://www.imperial.ac.uk/research-and-innovation
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Hospital, St Mary’s Hospital, South Kensington Campus, White City Campus, Chelsea Hospital, St Marks Hospital). If you require any further details about the role, please contact: Rebecca Roseberry
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, vaccines, or microbiology. While previous experience in clinical trials or research methods is desirable, we are looking for candidates with the initiative and flexibility to learn. Clinical Leadership
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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fulltime, fixed term based at St. Mary’s Campus. Should you require any further details on the role please contact: Erik Mayer e.mayer@imperial.ac.uk Attached documents are available under links. Clicking a
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imaging, physiological measurement, machine learning, and high-performance computational modelling. You will work with cardiology, cardiac electrophysiology, imaging, and biomedical engineering teams
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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We are looking for a creative and enthusiastic Research Assistant for a role focusing on Clinical Machine Learning and Natural Language Processing. You will be working on an exciting project, funded
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(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as