675 engineering-computation "https:" "https:" "https:" "https:" "UNIV" "Univ" Fellowship positions in United Kingdom
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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removal. College / Directorate Brunel Centre for Advance Solidification Technology Full Time / Part Time Full Time Research Assistant/Research Fellow: Contaminant Removal & Ultra-Low Flux Melt Processing
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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should have: PhD in computer science, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 5270 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering
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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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28 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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About the Role We are looking for a Computational Senior Research Fellow to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London