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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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11 Nov 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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significant period of growth and now has over 150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent
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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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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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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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The Rights Lab at the University of Nottingham is seeking a team member to join a large project that is analysing the role of religion and faith in anti-trafficking and anti-slavery work globally today. By researching theological approaches, worldviews and motivations, we aim to achieve a fuller...
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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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the study teams and Professor Camille Carroll on the EJS ACT-PD trial. Identifying a disease-modifying therapy (DMT) for Parkinson’s disease (PD) is a major unmet need. The Edmond J Safra Accelerating
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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