57 computer-programmer-"https:"-"Inserm"-"UCL"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" Fellowship positions at University of Birmingham in United Kingdom
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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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delivering the research goals of the group Conduct a research program, defined in agreement with the group Contribute to writing bids for research funding (including facility access) Analyse and interpret data
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activities within an established research programme and/or specific research project. Role Summary • Work within specified research grants and projects and contribute to writing bids • Operate within area of
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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. This study forms part of the wider COMbAT Fatigue NIHR-funded Programme Grant which aims to co-produce and evaluate the effectiveness of a self-management programme for post-stroke fatigue. The research
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significant experience in developing innovative postgraduate education programmes in this field. The University of Birmingham is the UK lead for SAFER‑MH, a major Wellcome Trust‑funded programme aimed
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2026 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We
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date: 12th May 2026 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research
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complex information clearly Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound