167 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "INSERM" positions at King's College London
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‑lifecycle replacement plans, embed decarbonisation, and oversee programmes at a strategic level to ensure resilience, compliance, and long‑term values. About the role: The Senior Asset Fabric Manager plays a
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programmes that are part of the transformation portfolio, providing day to day support for projects and the project and programme teams. A key aspect of the role will be developing team competences to support
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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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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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Department of Culture, Media & Creative Industries (CMCI) is based in the Faculty of Arts & Humanities, and is a large department with over 50 academic staff, a highly successful BA program, and four PGT
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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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‑lifecycle replacement plans, embed decarbonisation, and oversee programmes at a strategic level to ensure resilience, compliance, and long‑term values. About the role: The Building Services Digital
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, expanding in size over the last twelve months, and launching new programmes including an MSc in Health and Social Care Policy, and a programme for the Civil Service Fast Stream, alongside our existing
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supportive team culture, and supporting the translation of programme outputs in collaboration with preclinical colleagues. The post holder will also communicate complex and conceptual ideas to diverse
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD