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team of machine learning scientists, MR scientists (Prof. SK Piechnik) and cardiologists (Prof. VM Ferreira). Recent deep learning breakthroughs have provided a new perspective to rethink contrast
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, federated learning for healthcare collaboration and partnership, applied research to understand human skill in healthcare settings, and an investigation of different AI scientist career mobility schemes
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readouts and tissue imaging, to human tissue models, organoids, and bioreactors. You will be part of an interdisciplinary team of scientists and clinician researchers, spread across both Oxford and
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Applications are invited for a Senior Machine Learning Scientist to join the Medical Statistics group, with a combination of research and teaching responsibilities. The successful applicant will
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, in the Institute of Biomedical Engineering in the Department of Engineering Science (Headington, Oxford). The CHI Lab is led by Prof David Clifton, the Royal Academy of Engineering Chair of Clinical
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analysis methods; risk prediction models/ machine learning/ causal inference methods/ signal and data processing and optimisation. You will be enthusiastic and committed to working in a field of health
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, in the Institute of Biomedical Engineering in the Department of Engineering Science (Headington, Oxford). The CHI Lab is led by Prof David Clifton, the Royal Academy of Engineering Chair of Clinical
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and Reproductive Health (NDWRH), University of Oxford. The successful candidate will join a multi-disciplinary group of machine learning scientists, epidemiologists and clinicians at Deep Medicine who
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and Reproductive Health (NDWRH), University of Oxford. The successful candidate will join a multi-disciplinary group of machine learning scientists, epidemiologists and clinicians at Deep Medicine who
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Division and the Oxford University Hospitals NHS Foundation Trust. You will be responsible for developing machine learning methods to improve our understanding of patient physiological conditions, across a