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alternative models where existing methods prove inadequate. This project is suitable for Engineering or Physics graduates with a strong background in fluid mechanics and heat transfer, preferably with
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This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and
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of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent
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messengers. Altering the chemistry of the shell of the bead will allow us to determine the impact of physicochemical characteristics on biofilm formation and also probe the mechanical properties of the biofilm
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significant concentrations. Roadside bioretention systems are routinely considered as a runoff capture mechanism. Partnership investment programmes, Ofwat funded green economic recovery investments, and DEFRA
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Engineering and Analytical Science Civil Engineering Computer Science Electrical and Electronic Engineering Management of Projects in Engineering Mechanical Engineering Academic requirements To be considered
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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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Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes
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mechanism. The integrating should enable to guarantee certain properties of the learned functions, while keep leveraging the strength of the data-driven modelling. Most of, if not all, the traditional