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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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Learning-enabled Autonomous Systems, and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems. In this role, you will gain hands-on experience by setting up and configuring
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Learning-enabled Autonomous Systems, and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems. The successful candidates will undertake research into simulation-based
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Learning-enabled Autonomous Systems, and the IITP-funded Simulation-Based Testing for Mobility Cyber-Physical Systems of Systems. The successful candidate will undertake research into simulation-based
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sectors are looking for multifunctional and safer materials for innovation and development of new technologies. This research will help you to develop a combination of modelling and simulation skills in
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used to process and analyse large simulated and real physics datasets. A long-term attachment (6-12 months) and short-term travel to Fermilab during the operation of SBND will be possible, as
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more understanding of the fundamental behaviour of these materials which is where computer simulation can provide many of the answers. The project will involve studying the defect chemistry of niobate
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Event Simulation (DES), supply chain and factory flow optimisation and data analytics such as cost modelling to support decision-making within a manufacturing environment. You will be expected to deliver
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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phenomena. The project will contribute to numerical method development as well as new understanding of flow physics and will make use of high performance computing (HPC) and advanced computational fluid