211 computational-physics "https:" "https:" "https:" "https:" "UCL" 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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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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an indefinite contract. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Degree in Computer
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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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, timelines and policies. The Programme Manager will ensure optimal consistency of process, quality and efficacy of service, maintaining a high-level of stakeholder support. We are looking for someone with a
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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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Education Officer will support the design, development, delivery, and evaluation of King’s digital education initiatives (such as the Essential Digital Skills Programme) and projects. They will assist with
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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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, expanding in size over the last twelve months, and launching new programmes including an MSc in Health and Social Care Policy, and a programme for the Civil Service Fast Stream, alongside our existing
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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