32 cloud-computing-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" positions at KINGS COLLEGE LONDON
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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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, 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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, as the programme facilitates collaborative efforts to identify and overcome barriers to effective integration and translation across disciplines. You will work closely with subject matter experts and
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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
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academic colleagues to ensure compliance with King’s frameworks and external regulatory requirements. They will manage the annual quality cycle, curriculum reviews, and programme approval processes - driving
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Neuroscience. The Headache Group was established to improve the lives of those with primary headache disorders through an integrated programme of research, teaching and clinical activity. About the role
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research programme. Evidence of continued development in research methods in applied health and/or clinical research, and how these would contribute to improving and/or complement the Faculty’s research and
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-impact research aligned to the research themes of the Roger Williams Institute of Liver Studies (RW-ILS), while developing and maintaining an externally funded research programme. Core outputs will include
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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