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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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observational information is included via guidance towards samples consistent with it. However these methods suffer from a variety of problems, including high computational cost, difficulty tuning hyperparameters
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assistant if required. Applicants should have a relevant PhD, significant postdoctoral experience, a clear, feasible and relevant research plan and be an author of high impact papers. You will be required
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provided to support research programme costs. Applicants should have, or have submitted a relevant PhD by the start date, have a clear, feasible and relevant research proposal and the ability to manage their
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of multi-disciplinary members, based within Oxford Population Health at the Big Data Institute. To be considered you must hold a relevant PhD/DPhil in one of the following subjects: statistical
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international collaborators from the REWIRE-CAN team. The post is funded by Cancer Grand Challenges until April 2031 in the first instance. Appointment at Grade 7 is dependent upon having been awarded a PhD; if
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be a key member of the research team supporting the Oxford Future of Marketing Initiative (FOMI). Essential selection criteria • Hold or be close to completion of a PhD/DPhil in Marketing
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epidemiological processes. This post is full time and fixed-term until 31 January 2028. About you You will hold a relevant PhD/DPhil with post-qualification research experience along with a strong publication
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, or is close to completing, a PhD in Economics or a related social science discipline (such as Political Economy, Economic Sociology, Cultural Economy, or Marketing and Consumer Studies). You will have a
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within the Institute. This role is suitable for individuals who hold, or will have been awarded by the start date, a PhD/DPhil in AI Ethics and/or Data Ethics and/or Neuroethics and/or Philosophy