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interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research profile and reputation and that of the School
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at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level
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Faculty of Environment, Science and Economy The above full-time (1.0FTE) post is available from 2nd March 2026 on a 12-month fixed-term basis, within the Faculty of Environment, Science and Economy
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students. This is part of your personality: We are looking for someone with: Minimum Requirements PhD/Doctorate in bioinformatics, computer science, natural sciences, or related disciplines Strong
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, engineering and AI with industry scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and
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of contexts. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare
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completed (by the start date of the contract) a PhD degree in Photonics, Theoretical Physics, Optical Engineering, or Electronics and Electrical Engineering, and will have a proven track record in performing
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related dementias later in life. You will hold a relevant PhD/DPhil (or be close to completion) in the field of mechanical or biomedical engineering, applied mathematics, or another field relevant
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postgraduate programmes. The role is mainly student facing and is ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive
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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