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About us: The applicant will join the Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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per year Eligibility: UK Citizen Start Date: 02/10/2026 (3-year funding period) Research Group – CiMAT Project Overview X-ray Computed Tomography (XCT) is a critical non-destructive imaging tool used in
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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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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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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer
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Predicting infiltrative glioblastoma progression using advanced magnetic resonance imaging methods Project Supervisors: Michael Chappell, Steffi Thust Project Overview Glioblastoma (GBM) is the most
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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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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behaviour, which requires meticulous characterisation simultaneously in 3D space and time. This essentially requires 4D imaging for a better understanding. Although traditional high-speed cameras can achieve