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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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imaging. About the role: The research associate will join an early-stage translational medical research project, combining artificial intelligence (AI) and portable ultra-low-field magnetic resonance
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the facility’s capabilities where appropriate. About you It is essential that you hold, or be close to completion of, a PhD/D.Phil in a relevant subject, e.g. physics, biophysics, medical/biomedical imaging
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Supervisory Team: Joseph Lifton, Thomas Blumensath, Mark Mavrogordato Project description: Working closely with Rolls Royce, this PhD will establish advanced, but practical 3D X-ray imaging methods
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imaging, electrocardiogram (ECG) and electronic health record (EHR) data to improve diagnosis, management and outcomes of heart failure. About You You will have either a PhD in the relevant subject (e.g. in
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experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. Dr Yanda Meng (Computer Vision, Medical Image Analysis, LLM), Prof Aline Villavicencio
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colleagues on projects working across longitudinal phenotypic, clinical, cognitive, imaging with genomic data from these samples and will work within a wider group looking at genetic influences on mood and
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major contribution in the prediction of displacement and strain fields only based on the greyscale content of undeformed XCT images. The proposed PhD project will expand on this work to further develop D2
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to work jointly across the Imaging and Engineering and the Neuroscience Themes of the NIHR Sheffield Biomedical Research Centre. Join a world-leading centre for research and academic career development