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Early integration of sensors for efficient SHM of aerostructure during their service. Using a mix of reactive machines and limited memory this project develops new fuzzy logic based artificial intelligence (AI) algorithms for SHM system integration. The research will focus on early...
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-vibration problems came to light, indicating that modern, light-weight, low-frequency and lightly-damped structures have to be designed with new standards, grounded on a theoretical framework for human
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This PhD studentship is an exciting, fully funded opportunity to work as part of an internationally renowned scientific and engineering team to develop a new innovative technology to meet and overcome the serious challenges of increasing dissolved organic carbon (DOC) in the UK’s drinking water...
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for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning
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Funding providers: EPSRC and STRIP5 Prosperity Partnership Subject areas: Photovoltaics, Perovskites, Module design, Engineering Project start date: 1 October 2024 (Enrolment open from mid-September
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced mathematical models with state-of-the-art machine learning techniques to develop forecasting models...
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced mathematical models with state-of-the-art machine learning techniques to develop forecasting models...
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design, Engineering Project start date: 1 October 2024 (Enrolment open from mid-September) Supervisors: Professor Trystan Watson ([email protected] ) Dr Eifion Jewell Dr David Beynon Aligned
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develop innovative solutions and technologies. This studentship, supported by a BAE Systems - EPSRC CASE Award, focuses on the design and development of a novel electric actuator. The successful candidate
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Engineering research group, we are developing a digital twin of a proof-of-concept power plant, so that design can be carried out iteratively, considering the plant as a whole system. A key requirement for