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field measurements and computationally intensive simulations, limiting their scalability and responsiveness for risk-informed decision-making across large offshore wind farms. This project will develop
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-disciplinary. The project will benefit from the excellent material characterisation facilities both in Chemistry and Materials Science, for example using Photoluminescence, Raman, Dynamic Light Scattering, SEM
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/structural/mechanical engineering with experience and interest in structural dynamics, vibrational analysis, train-track-bridge interaction, signal processing, data science and machine learning. The successful
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