54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs at King's College London
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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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*). More info about the IoPPN are available here https://www.kcl.ac.uk/ioppn/about . About the role: We are recruiting a highly motivated Epigeneticist to join a collaborative initiative between King’s
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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 CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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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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, and preparation of study materials. You will assist with data collection (e.g., questionnaires and brief cognitive tasks) and support smooth delivery of MRI visit logistics in liaison with relevant
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. The postholder will also coordinate research visits at Denmark Hill, including scheduling, participant communications, and preparation of study materials. You will assist with data collection (e.g., questionnaires
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, diversity consultants and advocates, and our Patient Advisory Group. The post holder will be responsible for supporting data collection (quantitative and qualitative) during an optimisation study and set