44 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " research jobs at King's College London
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic
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QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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, clinicians, engineers, physical scientists, and data experts who share a mission to transform the lives of people living with heart failure. Heart failure affects more than half a million people in the UK, and
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) Location: Department of Engineering, University of Exeter The Role The Faculty of Environment, Science and Economy seeks a Postdoctoral Research Associate to join the ARIA-funded NEUROBOT project
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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supports our programme of translational research in inflammatory skin diseases, rare skin disease, and skin cancer including acquisition of carefully phenotyped biosamples to understand disease mechanisms
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Lab at the Centre for Developmental Neurobiology. This role will drive an exciting programme using single-cell and spatial transcriptomics to build high-resolution maps of human choroid plexus (ChP