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sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The outputs of this work will support practitioners in making informed investment decisions
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Water, the student will use the Complex Value Optimisation for Resource Recovery (CVORR) methodology to design a practical decision-support tool for identifying, quantifying, and advancing circular
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: https://www.jobs.cam.ac.uk/job/52142/ To apply for this studentship, please send your one-page cover letter and two-page CV to Professor Nathan Crilly nc266@cam.ac.uk . The message header should be "JLR
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Deadline: 31 August 2025 A fully funded four-year PhD position is available to work on the project titled “Real-world quantum verification and benchmarking of noisy hardware”. This position is a
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we study, work, and think. Models such as ChatGPT have the potential to free individuals from the intricate and labour-intensive processes involved in writing and coding. Developing system software
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performance will be assessed using finite element analysis and experimental work. Additionally, life cycle assessment will be performed to quantify environmental and economic impacts. This project is intended
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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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leading photonics research centres. AiPT cultivates an environment where academics, post-doctoral researchers and PhD students cooperate to overcome major scientific challenges in a welcoming and collegial
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is part of the Warwick Industrial Fellowships (WIF) scheme and the associated PhD student will have the opportunity to work closely with JLR engineers at Gaydon and Whitley, with access to sites and
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to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By