148 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at King's College London
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computational mechanics of advanced alloys/materials through understanding microstructure and the effects of manufacturing and service conditions on performance. These are full-time posts, and you will be offered
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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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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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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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, upgrade and test desktop computers (both Windows and Mac), peripherals and a range of software Ability to work under pressure, prioritise own workload and meet challenging deadlines Proactive to anticipate
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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