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We invite applications for a Postdoctoral Research Associate to join a research project funded by an EPSRC grant. The position is offered on a fixed-term basis until 31 August 2026, with a maximum duration of ten months (10 months), and is full-time. Reporting to Prof. Gesine Reinert, the post...
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Technology. Polymer; Solid Mechanics; Mechanics of Materials; Computational Mechanics; Statistical Mechanics
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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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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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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues 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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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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, 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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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