33 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" research jobs at KINGS COLLEGE LONDON
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Waterloo Campuses have been greatly enhanced since 1998 through a capital investment programme of approximately £200 million, which has provided state-of-the-art laboratories and a high-quality learning
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Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research activities and a wide-ranging portfolio of education programmes. Celebrating diversity and supporting
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prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, offering exceptional training and networking opportunities across leading European research institutions. The MSCA programme supports
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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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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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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 We are looking
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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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
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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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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