284 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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assistance receivable after 1 October 2026 (d) Any appointments or awards applied for and not yet decided (e) Subject of proposed research and outline of programme (no more than 1,000 words) (f) Any plans
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publications in the field, commensurate with career stage. Ability to contribute to broader management and administrative processes. Contribute to the School’s outreach programme. Please refer to the Candidate
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, including dealing with problems that may affect the achievement of research objectives and deadlines. • Contribute to the planning and organising of the ReLiB research programme. • Co-ordinate own work
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requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected
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(PHES) is seeking to appoint a Research Fellow to contribute to the UKRI-funded Local Health and Global Profits programme, a national research consortium led by the University of Bath and involving
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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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the Scottish Prison Service to complete the study. Description of Duties We are seeking a full-time Research Fellow (RF) to work on a study to support implementation of the ‘Healthy Dads Healthy Kids’ programme
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materials, with microwave metamaterial and device designs, to help develop a new class of reconfigurable electromagnetic structures. This will involve using various simulation programmes, both for mechanical
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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