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the transition to global environmental sustainability. Reporting toLead, Machine Learning, Oxford Sustainable Finance Group To be a successful candidate will need to hold a relevant PhD/DPhil in information
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explainable AI (XAI) to enhance the reliability and applicability of AI algorithms for healthcare applications [2] and/or identifying pitfalls of current AI models using adversarial machine learning. Supervisor
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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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Senior Research Software Engineer- x3 opportunities available on a 2-year Fixed Term Contract/Secondment Basis The University of Oxford is a stimulating work environment, which enjoys
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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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machine learning algorithms to support cutting-edge analyses of complex datasets. It is essential that you hold a PhD/DPhil (or close to completion) in statistics, machine learning, bioinformatics
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leading experts in the field. Candidates should hold a PhD in a relevant field and possess experience in data analysis, radio astronomy, or machine learning. Candidates should have experience
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for agent-based models (with particular interest in probabilistic programming); populating agent-based models with realistic agent behaviours (e.g., using machine learning techniques); calibrating large-scale
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. It is preferable that you have experience using machine learning approaches, and experience analysing spatially resolves, multi-colour immunofluorescence imaging date. A working knowledge of
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Joint Data Team (including machine learning researchers, statistical geneticists and data managers), enabling effective use of the joint data platform. You will be responsible for the hands-on development