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Field
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully-funded by the University of Exeter and National Grid to commence on 01 July 2025 or as soon
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an essential component in the safe and reliable operation of Generation III+ and IV nuclear reactor designs, including High Temperature Gas-Cooled reactors (HTGR), Pressurized Water Reactors (PWR), Lead-Cooled
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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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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
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metrics during both standard operation (primarily governed by system reliability) and extreme events (primarily governed by robustness and restoration). This will be achieved by building on previous
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are based on methods developed in bony fishes and are not always reliable when applied to shark cartilage. This research also challenges long-held assumptions by demonstrating that cartilaginous fish can
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The Faculty of Engineering, Department Elektrotechniek en energietechniek, Research Group MOBI - Electromobility Research Centre is looking for a PhD-student with a doctoral grant. More concretely
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challenge threatening the reliability and security of energy supply is energy droughts—extended periods of energy shortfall or low production, analogous to hydrological droughts. These events are driven by
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noise from other mechanical components such as gears, screws, etc., fault diagnosis using such signals is not an easy task. Having a robust and reliable CM system for low-speed bearings will have