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Reconstruction of atomic resolution images from sparse datasets of radiation sensitive materials in scanning transmission electron microscopy School of Electrical and Electronic Engineering PhD
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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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About the role We are seeking an outstanding candidate to work in the Process Dynamics group to contribute to advanced research in AI-driven X-ray imaging for metal alloy solidification
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About Us The Research Department of Digital Twins for Healthcare at King’s College London is a multidisciplinary hub within the School of Biomedical Engineering & Imaging Sciences, dedicated
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to image the centre of live, intact, plant roots. The ability to observe dynamic cellular processes at the centre of a live root for the first time will unlock entirely new lines of biological inquiry
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promising imaging technology is proton-acoustics, relying on detecting acoustic waves generated by proton-tissue interaction for real-time in-vivo 3D proton beam imaging and dosimetry. However, proton
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the School of Biomedical Engineering & Imaging Sciences. As such, we run an extensive clinical PET service, including a wide range of specialist indications, and an extensive clinical research programme
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maintenance of equipment. Job Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with
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image and video processing algorithms Developing and adapting machine learning models Integrating and deploying algorithms onto industrial hardware Evaluating performance in realistic scenarios and