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Field
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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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world leaders in precision medical imaging. Research placements of up to six months at Queensland are an integral part of the PhD. This studentship, with Nottingham’s flagship Additive Manufacturing
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by Manchester United FC. This approach to real-time imaging will be integrated into an AI imaging analytics package to promote automatic injury detection and aid player diagnosis by the partner medical
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Senior Scientific Officer to work alongside our teams, delivering preclinical PET/MRI imaging projects in our state-of-the-art facility. A degree in Biology (or similar) is required. A PhD (or equivalent
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researchers and 150 PhD students undertaking world-class research in the study of the nervous system and understanding brain function in health and disease. The School works closely with three large NHS Trusts
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reports, as well as some limited administrative duties and supervision of more junior researchers and students. The project would suit candidates with a PhD in neuroimaging, medical imaging, biomedical
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This is a full-time, funded PhD opportunity open to both home and overseas students. Only home fees are covered - eligible overseas students must make up the difference in tuition fee funding
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Key Information Salary: Dependent on relevant Postdoctoral experience. Future progression is based on annual performance review. If the candidate has not yet been awarded their PhD, the starting
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clinical trial related activities, including patient recruitment, supervision of imaging and all patient hospital attendances 2. with necessary training, processing brain imaging data from all participating
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efficiency and environmental sustainability. Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans