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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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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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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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sufficient specialist knowledge in the discipline to work effectively within the research programme. You will have experience with applying conceptual reflection to empirical data. You will also have
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role in participating in the exchange programme with Johns Hopkins University. You will also be responsible for contributing new research project ideas, managing your own administrative activities and
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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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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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Programme • Membership to a variety of social and sports clubs • Discounted bus travel and Season Ticket travel loans How to apply: Please provide a supporting statement outlining how you meet
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, you will be an enthusiastic and self-driven researcher able to plan and deliver high-quality scientific work. You will hold (or be close to obtaining) a PhD/DPhil in a relevant discipline and have