44 cloud-computing-"https:"-"https:"-"https:"-"https:"-"St" positions at KINGS COLLEGE LONDON
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professional training programme, based in the Department of Psychology, School of Mental Health & Psychological Sciences (MHaPS), Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College
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of Portsmouth Branch Campus (work led by the MBBS Branch Campus Programme Director), and Consultancy and Capacity building work with Abdullah-Al-Salem University in Kuwait. About the role To support these and
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computer use Understanding of the day-to-day functioning of a research lab Ability to manage lab supplies, stocks, and ensuring the lab is organised and tidy Desirable criteria Good organisational skills and
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has undergone a period of rapid change, 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
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or equivalent. Basic level of computer literacy (ability to access email and online training) Experience of working in a catering environment Understanding of all relevant health, hygiene, and safety regulations
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area, e.g., Robotics, Computer Science, Artificial Intelligence
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has undergone a period of rapid change, 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
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programme, which can include both curricular and co-curricular work. Collaboration is key to this role as the post-holder will be expected to seek out and nurture partnerships with internal partners at King’s
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, mathematics, chemistry, informatics and engineering. This role presents an exciting opportunity to run and develop the Nuclear Magnetic Resonance (NMR) service in the Chemistry department providing expert
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for