305 cloud-computing-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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Are you interested in developing interpretable AI models for the next generation of green syntheses? Do you have experience in AI/Machine Learning, or computational modelling of organic reactions
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you have a background in topological quantum computation? Do you want to further your career in one of the UK’s leading research-intensive universities? You will work on the theory and simulation
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12-month contract with option to extend Reports to: Future Textiles Curriculum Manager Location: Dumfries House, Cumnock About the Programme This intensive programme is designed to develop the next
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Hardware Implementation”. This project is funding by the EU funding schema CHIST-ERA and comprises a European consortium. This consortium is led by the Centre for Secure Information Technologies (CSIT: https
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An exciting opportunity has arisen for a Research Fellow to work on a NIHR PGfAR funded programme grant (NIHR206260): Personalised social and self-management support for better living with multiple
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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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University of Surrey. You will be working on a 3-year project (funded by Innovate UK) looking at coupling of fluid and solid models and how we could use AI to speed up the computational time required. You will
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About the Role We are looking for a Senior Computational Biologist to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London and