17 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Fellowship 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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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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. The Fellow will undertake a research project(s) which impacts diagnosis and management of brain tumour patients. The research project will be supervised by Dr Gerald Finnerty and will be based in
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relationships. Purpose of role is to progress the research programme of ‘JD HMI:CPT’, responsibility is to Dr S M Dobbs. Role includes work with participants, laboratory work, archiving of specimens and data
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For further information please contact Prof. Ben Wheeler (b.w.wheeler@exeter.ac.uk ) or Dr Lewis Elliott L.R.Elliott@exeter.ac.uk
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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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provide updates on the project; manage the budget; and supervise the research assistant who supports the project co-ordination on a part-time basis. In addition, the post holder will work on the data from
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and