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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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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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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition
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of experienced researchers from CNRS, UL, Arts et métiers, IMT and CEA, as well as several PhD students and post-doctoral researchers, working on high-throughput material characterization and micromechanical
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 13 days ago
transfer enhancement, bioinspired. The system should be numerically modeled, experimentally assembled and tested. Different working conditions will be tested, namely with the use of PCM materials and
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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials and Process Design Area of research: PHD Thesis Part-Time Suitability: The position is suitable
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Research theme: Catalysis and porous materials How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students, are eligible to apply. The successful candidate will
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(NIMP), based in Măgurele, street Atomistilor no. 405 A, Ilfov, organizes a competition for a scientific researcher position within the "Composite materials for the applications in the water management
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-economic aspects. Topic 1 We invite applications for a PhD position on the development of new and durable cathode materials for next-generation sodium-ion battery technology. The project aims to identify