113 programming-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at King's College London
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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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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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security principles Intermediate level of one of the following fields, and advanced level of two or more of their component disciplines: Crestron control programming (or similar) Sound engineering, DSP
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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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regulation. With internationally recognised programs in both computational and experimental genetics, the department serves as a hub for interdisciplinary research, encouraging collaboration across various
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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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. 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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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