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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc
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failure due to high-cycle fatigue, reducing the efficiency and safety of the gas-turbine engines. The development of robust damper devices that reduce the vibration levels is of paramount importance
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exhibit complex two-dimensional structures whose performance is governed by subtle variations in layer stacking and nanoscale disorder—features that are difficult to resolve with currently available
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on Friday 15 August 2025 Reference: IM-1930 Position: Doctoral Candidate #5 (DC 5) Project: Safe and legal operation of robots in agricultural environments Host Institution: Harper Adams University
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
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to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
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skills Ability to work in a team German language skills are desirable (communication with local stakeholders) Driving license category B desirable (access to field sites) Your tasks You will conduct
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. Experimental studies will be performed in wind tunnels with advanced measurement techniques with high spatial and temporal resolutions. Realistic car models (DrivAer models) will be considered in this study and