63 Medical-Sciences research jobs at University of Oxford in oxford in United Kingdom
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experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
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responsible for running your own research work, as part of our wider research aims and directions in our newly formed team. You will be working in a growing department within the Medical Sciences Division
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We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in Artificial Intelligence (AI), to join the Computational Health Informatics (CHI) Laboratory
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, engineering, mathematics or computational, have experience in the use of biomedical/clinical imaging data, have proven experience in programming (Python preferably) for medical imaging processing and machine
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for Sports Medicine and Technology at the University of Oxford. This full-time post is fixed-term for 24 months, with the possibility of an extension. The Postdoctoral Researcher will work under the
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Grade 7: £36,024- £44,263 per annum Location: John Radcliffe Hospital Contract type: Fixed term until 31 December 2026 Hours: Full-time About the role The Nuffield Department of Surgical Science is
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of Surgical Science is seeking a qualified Research Assistant to join the IDEAL Collaboration research group led by Professor Peter McCulloch in the Nuffield Department of Surgical Sciences. The ASSESS-DHT
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imaging brain function that uses the new technology of Optically Pumped Magnetometers (OPMs). You will primarily help develop and apply new machine learning methods for analysing data from the OPM-MEG
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We are looking for a Postdoctoral Researcher to join the Forensic Psychiatric Group to work with Professor Seena Fazel and Dr Rongqin Yu. The post is based in the Department of Psychiatry at the Warneford Hospital, Oxford and is full time. The post is fixed term (funded to 31 August 2025) You...
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. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or