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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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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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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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working under the supervision of Prof Wooldridge. Candidates will be expected to have a PhD (or be close to completion) in a related area. The primary selection criteria will be relevant research experience
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close to the completion of, a relevant PhD/DPhil together with relevant experience, and have relevant experience of chemical and petrological analysis of igneous rock samples. You will possess sufficient
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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findings and present to project leads at GSK. It is essential that you hold a PhD/DPhil (or are close to completion) in a biomedical or other relevant subject. You will need to demonstrate skills and
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on funding. We wish to fill it at the earliest possibility. About you You will hold or be close to the completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability