587 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "Inserm" Fellowship positions in United Kingdom
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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& multidisciplinary research programme focusing on evidence generation to further methodology research and to enable the design & development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester
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/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge
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management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication
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specified range of activities within an established research programme and/or specific research project. Role Summary Work within specified Rolls-Royce research grants and projects and contribute to writing
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Computer Science, Engineering, Psychology or cognate discipline PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Knowledge
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First degree in Computer Science, Engineering, Psychology or cognate discipline PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust