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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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to handle constraints and optimize the performance or economy of the system. One of the main barriers to adoption of MPC for power system control (and, indeed, large-scale systems in general) is its
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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
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of Sheffield. The role is part of a programme of research that is fully funded by the Aerospace Technology Institute (ATI) in a large collaborative programme with several Industry partners, including Airbus
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Illuminating the Plasmodium apicoplast genome organisation School of Biosciences PhD Research Project Self Funded Dr Indrajit Lahiri, Dr Matt Newton Application Deadline: Applications accepted all
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transferability of data between AM systems and with Process Modelling platforms. (assessed at: application/interview) Demonstrable knowledge of machine data analysis and control methods including reinforcement
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controlling nucleotide synthesis Overall, this project will shed new light on how cell cycle progression is regulated, potentially identify novel therapeutic targets for the development of anti-cancer therapies