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an enthusiastic, proactive, and collaborative biologist to join Prof Witney’s Group in the School of Biomedical Engineering & Imaging Sciences, King’s College London. You will join a dynamic and successful
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imaging features to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research
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to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research Centre of Excellence. This is a
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and brain. Perform molecular, cellular and histological experiments, including AAV injections, tissue processing, immunostaining and stereological confocal image analysis. Develop and apply image and
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Deadline: 13 April 2026 Supervisors: Dr Nicholas Grant and Peter Anastasi Project description: Terahertz imaging has the potential to transform sensing, inspection, and medical diagnostics, yet current
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year. Multiphase flows are common in natural and industrial processes, such as volcanic flows, bubbles in electrolysers, and blood flows. In many applications, these flows often exhibit transient
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technologies for clays rely on high-temperature roasting followed by aggressive acid leaching, processes that are energy-intensive, generate substantial chemical waste, and produce significant carbon emissions
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size, weight, power and cost constraints, accurate relative positioning and motion knowledge across platforms, coordinated data acquisition strategies, and the development of SAR image formation
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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT