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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
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This research focuses on a critical challenge: understanding and mitigating hydrogen pre-ignition risks caused by lubricating oils under demanding engine conditions. Hydrogen is a clean, zero-carbon
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computational models that help us interpret and control how language is generated and understood by AI systems. The selected student will join the University’s vibrant research environment and will be encouraged
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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diseases. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. The research will be conducted using state-of-the-art equipment
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This project offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute
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diseases. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. The research will be conducted using state-of-the-art equipment
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vary across domains due to the different nature of the downstream decision-making tasks that the visualization results will serve. An important research question is how to enable a representation
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to help Engineer better applications of industrial drop dynamic processes, including inkjet printing and additive manufacturing. Specific research objectives will focus on understanding how microscopic
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be