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research. We are seeking an Image Processing Technician at 0.4 FTE (two days per week) to provide computational and technical support for the SPIRO imaging research portfolio. The postholder will curate and
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tools. In this project you will develop multi-modal AI methods spanning classical image processing, deep learning, and hybrid approaches for segmentation, registration, image synthesis, and treatment
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Overview An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of
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central London in the School of Biomedical Engineering and Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the planned work
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laboratory by identifying any requirements for computer-aided design equipment and equipment for rapid prototyping Identify suppliers for all the consumables and components required to prototype RF coils Setup
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assays to uncover how ERG functions as an "immune gatekeeper" during both steady-state and inflammatory challenges. Ultimately, your findings will define a new roadmap for therapeutic targets to treat
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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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, quantitative image processing and data analysis. The postdoc will also contribute to the theoretical side of the project, developing models grounded in active matter physics, non-equilibrium statistical physics
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About this role: This exciting Knowledge Transfer Partnership (KTP) project will develop a novel AI-enabled system to automatically detect low-voltage services and conductors from image data and use
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. As Project Archivist your main responsibility will be to ensure the collection is catalogued to exceptionally high standards. You will develop an appraisal and cataloguing approach for processing