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The research in this doctoral opportunity will numerical assess single/multiple point wear in mechanical contacts and its relation with airborne friction noise. Friction noise and wear phenomena are
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partners from the wider aviation sector Access to world class research and education facilities The student will gain significant insight in numerical methods, performance engineering and engine
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novel methods to optimise de-ice ETIPS, which will replace current manual and slow processes. It is envisaged that the PhD research will develop a range of novel agent based AI/ML techniques and neural
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Engineering Advanced Numerical Methods At a glance Application deadline Ongoing Award type(s) MSc by Research Duration of award One year full-time, two-three years part-time Eligibility UK, EU, Rest of
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provides rich datasets with well resolved spatial and temporal measurements. The overall aim of this PhD project is to develop the next generation of advanced data analysis and characterisation methods for
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arc energy distribution becomes particularly complex in scenarios like parallel-pass deposition, thin-wall deposition, and off-centre or out-of-position deposition. Additionally, FEA models are focused
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. Analytical, numerical and empirical studies clearly indicate that the dissipated strain energy during crack propagation affects the modal values of the structure. However, there is still need to perform
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. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an interdisciplinary
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environmental monitoring. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an
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, and more efficient hydrogen storage tanks. These materials will be designed to address current limitations in conventional storage systems, such as weight, safety, and energy density. In parallel