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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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arrhythmias, and 900,000 with heart failure. Medical imaging techniques, such as CT, MRI, and X-ray, are vital for diagnosing and guiding the treatment of cardiovascular diseases. This project aims to develop a
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between the labs of Prof. Notingher (expertise in Raman spectroscopy), Dr. Gordon (Optical Fibre Imaging) and Dr Mohammad (snake-like medical robots). For further information: please contact Ioan Notingher
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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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practical solutions for safer participation. Projects may be supervised or co-supervised by experts from Engineering Science and the Medical Sciences Division. Potential Supervisors: Prof. Thomas Okell, Prof
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Scoliosis (AIS). Although surgery straightens the spine, AIS is associated with poor self-image and psychological distress. This project will investigate this, developing assessment and management tools
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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have the opportunity to develop their computational modelling capabilities in this project, alongside learning new skills such as testing on biological tissues and medical image processing
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relentless arms race. While viruses evolve new infection strategies, archaea evolve new antiviral defence mechanisms. However, we still lack a clear picture of this process. This project will address
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17 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD