46 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs at King's College London in United Kingdom
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groundbreaking symbiosis of cutting-edge AI combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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efficiently, reliably and to a high technical standard. The primary purpose of the role is to provide skilled laboratory support across the project, generating high-quality data in molecular biology and cell
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grade 7. Visit the Centre for Research Staff Development for more information About you: To be successful in this role, we are looking for candidates to have the following skills and experience
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular
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community?’, and ‘How have you contributed to broader society?’ See here for more information about these questions: https://royalsociety.org/topics-policy/projects/research-culture/tools-for-support/resume
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us We are offering an exceptional career opportunity for an accomplished Research Fellow to support the data analysis and data management team
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contract with GSTT, enabling access to data and facilitating close collaboration with clinical and research colleagues across both institutions. About The Role The TOUR team requires a Research Fellow to
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Assistant will contribute to data acquisition, quantitative analysis, and optimisation of experimental workflows, ensuring high standards of reproducibility and scientific rigour. The role offers