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contribute to the strategic vision and long-term planning of Oxford’s research in technical AI governance. You should possess a PhD/DPhil in machine learning, computer science, engineering, or a closely
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Trials Unit to deliver innovative, high-quality studies, support discovery research, and contribute to advances in trial design and conduct. Alongside developing your own research programme, you will
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to ideas for new research projects. You will hold (or be close to completion of) a PhD/DPhil in (bio)ethics, philosophy, sociology, anthropology or other relevant subject. You will have some experience and
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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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members of the research group which include research assistants, MBiol and PhD students, and project volunteers. They will have access to cutting-edge experimental and computational facilities situated in
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close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and
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applications, writing manuscripts as well as providing guidance to junior members of the research group which include research assistants, MBiol and PhD students, and project volunteers. They will have access
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at international meetings, and engage with collaborators across clinical and academic settings. Applicants should hold (or be close to completing) a PhD in statistical genetics, bioinformatics, computational biology
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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quantification. Find out more about the research and group here. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of computational biology, molecular