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Reporting to Prof Thom Wetzer, Director of the Oxford Sustainable Law Programme and Associate Professor of Law and Finance, the postholder will be a legal scholar with a focus on human rights and
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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research interests compatible with those of our current faculty in the following research groups: mathematical biology, mathematical and computational finance, numerical analysis, machine learning and data
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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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work effectively. Being enrolled in a PhD programme is preferred but not essential. Excellent communication, organisational, and IT skills are essential, along with the ability to work independently and
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months), and is full-time. Applicants will have, or be close to completing a PhD/DPhil in statistics, computer science, or related areas. They will have excellent communication skills, including
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machine learning. This particular thematic area will be supervised by Associate Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within
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social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in