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The post will be based within the Oxford Centre for Functional MRI of the Brain (FMRIB), reporting to Professor Saad Jbabdi. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This project involves development of machine learning methods for...
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TWO exciting opportunities to be part of the multimillion Ineos-Oxford Institute (IOI) for AMR Research within the Department of Biology, University of Oxford. Joining the IOI, and Sheppard and
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a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
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Novo Nordisk funds a prestigious fellowship programme at the University of Oxford, supporting basic science researchers in diabetes, obesity, cardiovascular diseases, and other cardiometabolic
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, and computational science while developing a broad skill set. The successful candidate will have, or be close to completion of, a PhD in a discipline closely related to neuroscience. With experience in
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We are seeking a motivated and experienced Postdoctoral Research Assistant to join a flourishing program of research led by Dr. Rachel Tanner, studying tuberculosis (TB) with a focus on novel TB
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research materials and analysing and presenting qualitative and/or quantitative data from a variety of sources. The successful candidate will hold a PhD degree in a relevant topic (e.g. Biomedical sciences
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The arms race at the plant-pathogen interface is a fascinating field of biology that can deliver important new, strategies for crop protection. Within this ERC-funded project, we used chemical
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central eighteenth-century areas of concern such as campaigns for the abolition of the slave trade or early forms of constitutionalism. The Postdoctoral Researcher will also assist with a programme of
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance