137 computer-security-"https:"-"https:"-"https:"-"https:" positions at King's College London
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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 programme, 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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as part of the KHP-CTO Non-Commercial Team, the post-holder will ensure that the sponsor responsibilities (delegated to the KHP-CTO) for clinical oversight, safety reporting, and data integrity
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studies Proficiency in cell culture and differentiation Experience with iPSCs Knowledge of PCR, RT-qPCR and other molecular biology techniques Proficient in computer use Understanding of the day-to-day
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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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research strategy and educational activities, providing unique opportunities for students and staff. About the Department of Biostatistics & Health Informatics (BHI ) The Department has been a major force in
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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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track record of securing high-profile media coverage and leading successful communications campaigns. You will have excellent relationship building skills, with strong contacts across national and
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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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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