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towns programme, organise and run patient and public involvement events to engage with community members and innovate, contribute to and promote the research, publication and impact focus of the centre in
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Integrating and Predicting Responses of Natural Systems to Disturbances . About you The successful candidate will develop and test new theoretical and computational frameworks linking population and community
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of Pathology, University of Oxford. A key goal of the project is to understand how fungi and bacteria compete in the mammalian gut and use this to identify communities that inhibit the growth and virulence
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agentic architectures for autonomous scientific reasoning and planning; • AI social scientists, including language-model-based and agent-based simulations for social science domains such as history
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photosynthesis in calcifying plankton. This role offers an exciting opportunity to contribute to research on cellular and community-level processes that shape marine carbon cycles. The post holder will be a part
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the broader academic community. The role also offers opportunities to contribute to teaching activities. Applicants should have a PhD (or close to completion) in Physics, Astrophysics or a related field
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and analysis. You will collate and manage outcomes across the project and provide strong and effective communication to ensure cohesion across different aspects of this complex programme. You will
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independently execute appropriate activities to deadlines • Ability to communicate effectively both orally and in writing • Willingness to travel for international collaborations Candidates are expected
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. You must have demonstrated experience in in in vivo models of inflammatory disease and a flexible approach to dealing with research problems as they arise. You must demonstrate excellent communication
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly