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AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image
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The University of Exeter is offering up to 9 fully funded doctoral studentships for September 2024 entry as part of our Doctoral Training Partnership with the EPSRC (Engineering, Physical Sciences
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Ref NumberB02-07042Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed
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-dimensional data sets are increasingly collected for medical diagnosis and in biological research and an important question regards characterising how information relevant for a certain medical purpose is
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fields of science and engineering like light weight design, engineering, medical applications, dampers, energy absorbers, thermal management, artificial intelligence and many more. The proposed topic
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a medical diagnosis based on a similarly spurious rule such as visible marks left by medical previous treatments . It is therefore difficult to ensure that the models we train are reliable
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engagement in physical activity in children with attention deficit disorders Eligibility: open to UK students Deadline: 30th June 2024 Further details including full project description, eligibility
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Physical activity (PA) is beneficial for physical and mental health at all stages of life and becomes of critical importance from mid-life onwards, when regular engagement can help prevent or reduce
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Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained
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Ref NumberB02-07033Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed