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About the role Comparative genomics, and specifically our ability to identify which genes are related in different species, has revolutionized our understanding of the natural world. It enables us to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has...
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Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity
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members of the research group which include research assistants, MBiol and PhD students, and project volunteers. They will have access to cutting-edge experimental and computational facilities situated in
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to cutting-edge experimental and computational facilities situated in the new Life and Mind Building (LaMB). The postholder will have the opportunity to interact with collaborating researchers in Oxford and
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to completion of a PhD or equivalent qualification in computational fluid dynamics or applied mathematics. What we offer At the university of Oxford your happiness and wellbeing at work is important to us. We
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets