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temperatures to determine their suitability. Developing models to predict wear, friction, and chip formation, integrating coating, lubricant, and coolant effects. Building a data-driven AI model to analyze
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Future proof energy and materials feedstock resilience for sustainable aviation fuels supply chain Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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This position is to work alongside Professor Kate Dommett at the University of Sheffield and Dr Amy Orben at University of Cambridge on a new UKRI Taskforce on social media data access
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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activity is therefore vital for the interpretation of neuroimaging data. With a unique combination of optical, electrophysiological and MR techniques in a rodent model we have previously explored
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data-driven machine learning methods to develop scalable and accurate novel computational tools. Further project details can be found at: https://www.sheffield.ac.uk/acse/phd/phd-position-control-theory
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Carbon capture from gas turbines School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes Application