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the research team of Professor Reinhold Medina at the Department of Eye and Vision Science in the Institute of Life Course and Medical Sciences. You will have a PhD (or be about to obtain) in areas relevant
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science, artificial intelligence (AI) including machine learning, and statistics, and ideally experience in the application of data science and AI to medical datasets. You will be expected to manage and
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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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Department: School of Engineering and Materials Science Salary: Grade 4/5, £40,223 - £47,178 per annum (Grade 5) Reference: 1971 Location: Mile End Date posted: 1 May 2024 Closing date: 30 May 2024
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24 Apr 2024 Job Information Organisation/Company Imperial College Department Faculty of Medicine HR Research Field Medical sciences » Epidemiology Medical sciences » Cancer research Researcher
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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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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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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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Job id: 089745. Salary: £43,205 - £50,585 per annum including LWA. Posted: 17 May 2024. Closing date: 16 June 2024. Business unit: Faculty of Life Sciences & Medicine. Department: Cancer Imaging