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techniques. This research proposes a novel framework that integrates Machine Learning (ML) for structural health monitoring (SHM) and design optimization of CFDST wind turbine towers. The study will focus
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learning system that creates a profile of wear and tear of turbines given the environmental, meteorological and physical conditions they operate under. Such data can inform structural health monitoring
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to work independently and to communicate with a wide range of stakeholders. You will be based in the Gibson Building, Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building
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aims and objectives The main objective of this project is to develop and validate synthetic methodologies that use electrochemistry and earth-abundant metal catalysis to access high-value chemical
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Number of Opportunities Available: 1 Primary supervisor – Prof Mark Webber The microbes which live as part of our microbiomes can play important roles in our health. One example of this is in
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approach to design and fabricate wearable sensors for remote health monitoring. Specifically, it investigates the use of advanced materials and sensors design related to wearable applications, including
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holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 07 April 2025 The Role Join Newcastle University and
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, which supports homeostasis; (2) develop a chemical reaction-driven response framework which is triggered due to internal or externally-generated fault. Main duties and responsibilities Run experiments as
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of Computer Science at the University of Nottingham, starting on 1st October 2025. The topics for the studentships are open, but your research proposal should relate to the interests of one of the School’s research
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of £20,780 (2025/26 UKRI rate). Overview Edge-based sleep management offers an accessible solution for monitoring sleep patterns, gaining insights into sleep-related issues, and personalised sleep health