413 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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Sclerosis, ALS, and the related disorder frontotemporal dementia, FTD) through their engagement with an established internationally-leading programme of neuroscience research led by Professor Kevin Talbot
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delivery of essential services contributing directly to the high standards expected at the University of Oxford. You will carry out general building tasks, assist with minor repairs, undertake safety checks
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Applications are invited for a Postdoctoral Research Assistant in Astrophysics (ERC RedH0T). This project will be part of the ERC Synergy Grant “Red-Teaming the Hubble Tension” (RedH0T). The goal is to determine whether the Hubble tension arises from observational issues or from limitations in...
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Applications are invited for a Research Assistant, to work with a team working with Dr Rachel Pechey on a research programme testing interventions to encourage healthier and more sustainable food
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Applications are invited for a part-time (0.8fte, however 0.5fte will be considered) Research Assistant to support a programme of work at the intersection of AI, ethics, creativity, and young
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linguistics, morphosyntax, history of the English language, geospatial linguistics and dialectology) to work with and develop the research programme, including the necessary statistical skills to perform
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to problems, or to progress key tasks. They will have an excellent standard of computer-literacy and will have the ability to handle numerical and financial data with confidence and accuracy. This is a
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clinical trials, and developing personalised models to understand therapy response characteristics. You will contribute to a pioneering tissue-focused research programme aimed at enhancing cure rates
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects