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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
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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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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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should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in high-resolution, analytical scanning transmission electron
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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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’ 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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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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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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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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for Tropical Medicine and Global Health, and the Pandemic Sciences Institute. We are seeking a Postdoctoral Researcher in Ethics and Infectious Disease to work as part of the Oxford – Johns Hopkins Global