389 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at University of Oxford
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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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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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Oxford Saïd Business School is seeking to appoint two Postdoctoral Research Fellows to join the Oxford/EY Corporate Transformation research programme, a multi-phase research partnership between Saïd
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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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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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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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programme, and will also assist in the administration and delivery of the Oxford Experience programme, which is a seven-week residential summer school and the largest summer programme offered by
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within a team. You will have up-to-date knowledge of UK employment law, and awareness of data protection and information security guidelines. You will enjoy providing a high level of customer service and
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About the role We have an exciting opportunity to join the Draper Group in the Department of Paediatrics as our Senior Research Nurse – Malaria Vaccine Programme. You will play an important role in
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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