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Artificial intelligence to Building Energy Systems for Next Generation Control Strategies Energy Institute PhD Research Project Directly Funded UK Students Prof Ben Hughes Application Deadline: 01
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Enhanced Remediation of Radionuclide Plumes through Chaotic Advection and Dynamic Pump-and-Treat Control School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK
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Exploiting the digital thread - investigate the effects of machine tool interpolator and closed-loop control systems on surface integrity in micro machining School of Mechanical, Aerospace and Civil
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Electron Beam Powder Bed Fusion Additive Manufacturing (AM) through the use of thermodynamic and process model informed edge compute closed-loop control systems. Focusing on thermal compensation within
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biomethanation of hydrogen from grid excess electricity (power to methane). In all these scenarios an improved control of AD is necessary, which is able to match the biogas demand of the system while maintaining
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systems and the flow of traffic. Without effective control, fusion reactors lose their energy output, oil drill strings experience hazardous stick-slip oscillations, and traffic flows risk gridlock
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A Machine Learning Enabled Physical Layer for 6G Radio Systems School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Prof Timothy O'Farrel, Prof Mohammed
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protein that can be secreted, here we will define how cathepsin secretion works and whether this is stimulated during tumour progression - Objective 3: we will define the role of cathepsin in controlling
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year round Details The need for precise control of flexible structures is more critical than ever. Whether it’s reducing the weight of next-generation aircraft, ensuring the stability of towering
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Overview An exciting opportunity for a research associate exists within the Additive Manufacturing research group, led by Prof. Iain Todd, at the University of Sheffield. The role is part of a