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Field
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. This PhD will address these challenges through a combination of experimental materials science, advanced characterisation and AI‑assisted modelling. Working within the Composites Research Group, you will
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the manufacturing process. The embedded optical fibre sensing will be used in conjunction with advanced numerical models for monitoring of composites manufacturing and structural performance. Motivation High
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chemical processes, such as artificial photosynthesis. It relies on the combination of bulk photophysical processes and surface chemical processes within complex composite nanostructures, the interplay
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to small batches. This PhD will pioneer the transition from laboratory-scale demonstrations to scalable, manufacturable acoustic structuring of polymers, representing a step change in composite processing
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'How does a shift in forest tree species composition affect soil organic carbon storage in ancient forests of Wallonia: site conditions, biotic interactions, and reversibility'. This interdisciplinary
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manufacturing processes, especially for the transportation sector and medical technology. To this end, materials are tailored and manufacturing processes are designed to conserve resources – from the modeling
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Start Date: 01/10/2026 Application deadline: 26/03/2026 Applications are invited for a fully-funded Ph.D. studentship in the Department of Aeronautics in structural power composites. This PhD is
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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gases. As energetic particles propagate through air, they interact with the air molecules and produce radicals, ions and excited species which can alter the chemical composition of the atmosphere
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date