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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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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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have or be close the completion of a PhD/Phil in molecular or cell biology or neuroscience or a relevant area together with relevant experience. Experience in mammalian cell culture and analysis
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other postdocs, research assistants and PhD and project students. The research group aims to apply the latest advances in molecular biology, immunology and neuroscience to better understand the mechanisms
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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
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hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical statistics or statistical genetics. You must
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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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new collaborations within the centre. You must hold a PhD (or near completion) in statistical genetics, functional genomics, computational biology, or a related field together with proficiency in
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the Hintze Centre for Astrophysical Surveys and the Beecroft Institute for Particle Astrophysics and Cosmology. They will also get involved with the LSST-Dark Energy Science Collaboration, the international