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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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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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will require significant software engineering experience and also hands-on experience implementing machine learning at all levels. You will work closely with the other Research Software Engineers
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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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We are seeking a Research Associate to work at the intersection of computational statistics, machine learning, and global health. You will be based in the Department of Computer Science at Oxford
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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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We are seeking a Research Associate to work at the intersection of computational statistics, machine learning, and global health. You will be based in the Department of Computer Science at Oxford
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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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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
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We have a great opportunity for a Postdoctoral Research Scientist in Application of Machine Learning in Sepsis to join the group of Professor Julian Knight, an established team with a track record