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for supporting the effective governance of AI. You will lead the Technical AI Governance programme and develop research questions within AI safety, interpretability, and technical governance. You will also
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
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surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant
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/workforce-and-learning-research-group ). The Compound Pressures project is a realist review funded by the NIHR HSDR programme. The project aims to understand how multiple and intersecting pressures, such as
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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. Advanced programming skills, particularly in Python. Experience with computational approaches to protein folding welcome. Familiarity with molecular dynamics simulation tools such as GROMACS welcome. A solid
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background in materials characterisation you will be self-motivated, able to plan and deliver a commercial service to time and budget. You will have a PhD (or be near completion) in physical science and
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Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity