601 engineering-computation "https:" "https:" "https:" "https:" "Univ" Fellowship research jobs in United Kingdom
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful
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Honours degree in Computer Science/Mathematics/ Electrical and Electronic Engineering (or related discipline) Have, or be about to obtain*, a PhD in a relevant subject (must be obtained within 3 months
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Queen’s University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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Join a pioneering team shaping the future of advanced Battery Management Systems (BMS) for electric vehicles and energy storage. The post holder will be a member of the Architectural Engineering
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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 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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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 5263 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering
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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