184 phd-scholarship-in-computational-material-science Postdoctoral positions at University of Oxford
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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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’ 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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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
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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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arbuscular mycorrhizal symbiosis, led by Dr. Ronelle Roth in the Plant Molecular Biology Section. EVs are produced across all kingdoms of life where they mediate cell-to-cell communication, however, in plants
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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The Mobile Robotics Group (MRG) at the Oxford Robotics Institute (ORI) in the Department of Engineering Science at the University of Oxford is seeking exceptional candidates for a full-time
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Materials & Composites Laboratory: https://eng.ox.ac.uk/mmclab/) in the Department of Engineering Science at Oxford University. The post is funded by the ERC Proof-of-Concept (PoC) grant: RESILIENT and is