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“interrupted” tests whereby the process is paused or slowed to allow information to be collected at a series of discrete time or load steps. This results in an estimated interpolation of events between capture
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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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. However, only patients with good physical fitness are candidates for systemic therapy, and even among those patients, only a minority (25-30%) benefit from it. Therefore, we need to find better treatment
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Duration of study: Full time - 4 years fixed term (1y MRes + 3y PhD) Starting date: September 2024 Primary Supervisor: Prof. Ilias Tachtsidis, Department of Medical Physics and Biomedical
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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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-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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(Enrolment open from mid-June) Project description: Physical inactivity increases risk of cancer, cardiovascular disease, obesity and depression, and costs the UK £7.4 billion annually. Women are less likely
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on the admissions process generally, please visit our How to Apply for a Research Degree webpage or contact the Doctoral College . The closing date for applications is 30th June 2024 at 15:00 (London
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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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Ref NumberB02-07042Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed