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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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developed within the School of Clinical Dentistry. Simulated data produced in Computer Science will augment EIS data collected from these constructs. These machine learning models will be developed from both
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bed fusion (LPBF) using multi-phase melt-pool physics and high-fidelity simulations. Main duties and responsibilities Use a modelling approach which allows the creation of a virtual qualification
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project focuses on the development of a digital design and simulation platform for optimising steel milling tools used in oil and gas well decommissioning. You will embed cutting-edge academic expertise
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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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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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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