201 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" 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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the programme implementation teams to meet donor standards and requirements for key submissions. The Head of Programmes will develop strategies and donor compatible internal systems to sustain high compliance
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments About the role
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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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engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
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About Us We are seeking to appoint a Clinical Reader or Professor of Neonatal Medicine to replace a retiring colleague to help lead a large scale programme of neonatal research in conjunction with
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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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and Depression (GLAD) Study Mental Health Goals (MHG) OMICs Programme. This project represents the largest multiomics programme for severe depression worldwide, designed to accelerate discovery in
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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