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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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select 'Mechanical and Manufacturing Engineering' under ‘Programme’. Please quote the advertised reference number, ‘FP-CTS-2025’, under the ‘Finance’ section of your application. Please note that 1 January
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. Overview Newcastle University Business School invites applications for a three-year PhD studentship for full-time students undertaking a PhD in Economics, starting their studies in January 2026. We welcome
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37 Faculty of Business, Economics and Statistics Startdate: 01.11.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.10.2029 Reference
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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the Department of Physics and Astronomy at the Streatham campus in Exeter. The UK Government has undertaken a assessment of the potential of metamaterials science and technology, which is available here . Due
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used in wind turbine blades, structural engineering exposed to offshore environments. However, the rapid growth of the wind turbine industry is expected to generate million tons of blade waste globally
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engineering with an emphasis on developing and refining processes which must be compatible with large scale manufacturing. The successful applicants will expect to split their time between the Swansea Bay
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legislation. This is hindering their development and delaying their introduction into the market. The engineering process for ensuring compliance with functional safety requirements involves thorough risk