33 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at King's College London
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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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. 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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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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This role is part of a collaborative Cancer Research UK funded programme focussed on developing radiotracers that target receptors associated with hard-to-treat cancers. It is based in
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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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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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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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professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five
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) working on an exciting programme of projects, such as the UK Eating Disorders Genetics Initiative (EDGI UK) the GLAD-MHG Omics Cohort, one of the UK’s most ambitious precision psychiatry initiatives, hosted
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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