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). This role will primarily support the Professor of Clinical Machine Learning, Professor David Clifton, as well as other academic members of the group. The position is permanent and full-time, although
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to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
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phenomena and impulsive events in the solar atmosphere. Our approach includes the implementation of machine learning models for multiline full-Stokes inversions. About the person: The successful candidate
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designed to support machine learning workflows. Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems applied in some specialised domain, ideally with experience of local model
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treatment window may already have passed. Project Aim: This project proposes the development of an innovative approach that applies computer vision and machine learning to detect early signs of stroke through
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, Machine Learning, Generative AI, Mathematics, Probability, Simulation Models. Please find our employee benefits on our website. Athena Swan Statement The School of Computing, Engineering & Intelligent
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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approachable Organised and proactive Committed to health equity and inclusion As well as a great salary and friendly team you will also receive: Working daily allowance for food and drinks* Free car parking
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are shortlisted. To learn more about the Institute for Health and Care Improvement and the Health and Care Research and Evaluation Service, please visit: yorksj.ac.uk/ihci For informal enquiries please contact
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. Collaborate with interdisciplinary EIT Oxford teams to link fundamental cell-developmental genetics research to machine-learning models designed to augment the search for relevant target genes. Requirements