57 data-"https:"-"https:"-"https:"-"https:"-"Ulster-University" research jobs at King's College London
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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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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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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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, organising and analysing data, supporting thematic and narrative analysis of legal judgments and statutory reports, contributing to the development of an interdisciplinary analytical framework, and assisting
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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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will contribute to the research on the project and support the genetic, molecular and histology work carried out in the Tucker laboratory. Research will include gathering data on JE cellular lineage and
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assessment of and reflection on the use of AI agents in science. About you – for a PDRA candidate The successful applicant will be able to present information on research progress and outcomes, communicate
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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