135 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at KINGS COLLEGE LONDON
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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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Good knowledge of high throughput DNA sequencing and genotyping technologies Clear spoken and written communication skills, with proficient computer use and strong interpersonal and influencing
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About us The Department of Psychosis Studies is the world’s leading department for research into psychotic disorders by high impact publications. It is part of the IoPPN; the largest academic
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our Chair of Palliative Care and Child Health, Lorna Fraser and will support an NIHR funded programme Improving Care for children with life-limiting Conditions: developing, adapting, implementing and
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catering assistant you will be involved with all aspects of the catering service including basic food preparation, food service, till operation, barista coffee making, food hygiene, delivering hospitality
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pivotal role in advancing the Faculty’s academic strategy by leading high-impact research into liver disease and contributing to the education of the next generation of scientists and healthcare
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of the four departments of Psychology, Social, Genetic & Developmental Psychiatry (SGDP), Health Service & Population Research (HSPR), and Biostatistics & Health Informatics (BHI). With over 100 Principal
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a high level of expertise to manage this level of risk on behalf of the university. The role holder will need to have a broad perspective, engaging positively and proactively with the research
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of Engineering is supported by an experienced professional services team, working in partnership with academic colleagues, as well as faculty and central directorates to provide a high-quality administrative
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. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic