162 phd-position-in-database-modeling Postdoctoral positions at University of Oxford in United Kingdom
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you You should hold a PhD/DPhil, or be close to completion, of a relevant PhD/DPhil with a proven record of
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Applications are invited for a Postdoctoral Research Assistant position with the WISDOM project (mm/sub-mm interferometric studies of molecular gas and supermassive black holes in galaxies near and
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and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism. To address these questions, we
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural
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/weather observational and modelling products would be of a substantial value. Furthermore, experience with epidemiological modelling and/or attribution of extreme events and their impacts in a changing