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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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-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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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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sequencing (a process termed next generation phage display, NGPD). The studentship will apply NGPD to target cell surface GAGs from breast cancer cell populations, identify specific binders, clone and express
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@exmail.nottingham.ac.uk. Any queries regarding the application process should be addressed to [email protected]. Interview Date: Week commencing 17th June 2024. Start Date: 01/12/2024 or as soon as
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equivalent to medical CAT scanning) provides an excellent tool to address AM inspection, but can be difficult to apply to in larger components. Working as part of a well-established group of PhDs and Doctoral
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project is to better understand the reciprocal relationship between the cell metabolism and the irradiation. To that end we will develop a multi-scale, multi-physics computational model, based
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; Xi'an Jiaotong - Liverpool University | Southampton, England | United Kingdom | about 13 hours ago
or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable