112 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at King's College London
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in health and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Applications
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portfolio of non-clinical work-related learning activity, including internships, placements, the Insights programme and related experiential learning opportunities, providing an efficient and effective
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users, academic and technical staff as well as a strong network of service contractors and engineers to help maintain the lab. Plan and implement end-to-end lifetime lab asset management, from procurement
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understanding of research impact. Able to outline a credible 2-year plan for publication of PhD research and/or new research All applications should include: 1) a cover letter (max 2 pages); 2) a CV; 3) a single
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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 Departments. About the role We
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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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. 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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provision of various aspects of programme management across the faculty’s post-graduate taught programmes, including our Continuing Professional Development offerings. The role will include responsibility
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an independent, interdisciplinary research programme in immunology and/or inflammation biology at King’s. The post will be based at the Centre for Inflammation Biology and Cancer Immunology (CIBCI), Department
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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