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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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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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(or close to completion) in Neuroscience, Molecular Biology, Genetics/Genomics or related area. You will have demonstrable experience in translational human (or animal) neuropathology and knowledge
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conferences and medical journals such as ICML, NeurIPS, Lancet, JAMA, BMJ, and Nature Machine Intelligence. As a senior researcher the holder of the position is expected work with other senior researchers
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-disciplinary project. It is essential that you hold a PhD (or be close to completion) in biochemistry, molecular biology, neuroscience or a related field, together with relevant experience and knowledge
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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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About the role We are seeking candidates to develop a therapy for heritable cardiomyopathies. Specifically, the appointee will be responsible for the preclinical development and selection of an oligonucleotide drug to be tested in a Clinical Trial. The role requires applicants to hold a PhD in a...
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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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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