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that has fantastic transport links and state of the art facilities. You will be a member of the Newcastle University Biosciences Institute (https://www.ncl.ac.uk/medical-sciences/research/institutes
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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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://www.newcastlebrc.nihr.ac.uk/digital-health-ageing-innovation-and-inclusion/ Translational and Clinical Research Institute: https://www.ncl.ac.uk/medical-sciences/research/institutes/translational/ Find out more about the
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; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional
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and Medical Sciences and will work closely with a large, interdisciplinary team of academic researchers and clinical collaborators. You should have a PhD (or be about to obtain) in areas relevant
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://www.ncl.ac.uk/medical-sciences/people/profile/roberttaylor.html Robert.taylor@ncl.ac.uk Prof Gavin Hudson https://www.ncl.ac.uk/medical-sciences/people/profile/gavinhudson.html Gavin.Hudson@ncl.ac.uk Dr Sarah
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translation and commercial readiness of our AI-informed digital tool for use in NHS and social care. This includes contributing to early work aligned with the Digital Technology Assessment Criteria (DTAC
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Full-time: 35 hours per week Fixed term: to 31st March 2028 To conduct a research project and contribute to its direction, management and reporting in accordance with the project aims which overall are to study the development and plasticity of brain macrophages. The Opportunity: This post is...
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skills and attributes for success: For the UE06 Research Assistant position : An MSc (or equivalent) in broad areas of informatics, engineering, physics, or other natural, biological, or medical sciences
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are seeking a Research Assistant to join a team working at the intersection of medical imaging and machine learning at the University of Oxford. This is an exciting opportunity to work across disciplines