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The exciting PhD opportunity was funded by 5-year Leverhulme Trust Leadership Award, which aims on sensing wastewater for real-time public health, particularly on the development of novel low-cost
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intelligence (AI) algorithms for SHM system integration. The research will focus on early implementation of health monitoring system for aerostructure. The project contributes directly to the development
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Pollution has resurfaced as a critical issue for the health of river ecosystems. Persistent and emerging water quality problems are being highlighted regularly by the media and community groups
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relations. Yet, existing debates on freshwater pollution ignore the “bio-cultural-political” complexities that result in the decline of freshwater quality and health. Hence, this research will unpack the who
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and education in technology and management. Research Excellence Framework 2014 (REF) has recognised 81% of Cranfield’s research as world leading or internationally excellent in its quality. Every year
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fitting for reduced order electrochemical models. Early detection of thermal anomalies in battery packs. Physics-based models and state of health estimation in lithium-sulfur batteries. Collecting data and
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The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
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Framework 2021 (REF) has recognised 88% of Cranfield’s research as world-leading or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering