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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
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that sound like something for you? Your working place: The Department of Astrophysics with currently around 100 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University
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will focus on the development of voice analysis technologies to enhance the prediction and triaging of Category 1 ambulance calls. Ambulance call centres play a critical role in triaging life-threatening
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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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home to 200 doctoral candidates in Physics at the University of Vienna who work at the forefront of science and receive training, mentoring and support to become independent researchers and to connect
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using activated carbon and ion exchange to remove PFAS from drinking water. As the successful candidate, you'll work in close collaboration with industry experts at Anglian Water and benefit from
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and e-mail the following to STEM-SPS-PHD@open.ac.uk by the application deadline 19th September 2025 - 17:00. A completed Application form UK if you are classed as a home student . An up to date CV. A