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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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focus on the development of operation and future-aware multidisciplinary aircraft design framework. Air transportation activities increase faster than the introduction of new environmental impact
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remained unclear for decades, and thus design principles for discovering new thermal battery materials have been lacking. In this industrially sponsored PhD studentship, we have partnered with AWE to fund a
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information yielded by this study will allow us to develop design principles for new Na-ion battery cathodes with improved electrochemical performance. Promising candidates will be experimentally tested through
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, as well as in designing coordination strategies. Our recent work on ML-based co-optimization demonstrates some of our key research directions relevant for this position. The role holder will work
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information such as speeds, vibrations, approaching target distances, vehicle locations. This project aims for a systematic investigation on analysis, design, and evaluation of enhanced ISLAC waveforms
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Start date: September 2024 (Home/EU students and International) PhD Formula Student Electric Powertrain Design and Optimisation The Faculty of Technology Design and Environment at Oxford Brookes
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on developing an innovative framework grounded in Design for Dynamic Management, we integrate AI and predictive analytics to enable adaptive decision-making. This PhD research at Cranfield University aligns with