167 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" PhD positions in United Kingdom
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
carbon fibre-reinforced polymers (CFRPs), are increasingly adopted in structural applications due to their superior strength-to-weight ratios and fatigue resistance. However, their layered, anisotropic
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This project aims to perform laser spectroscopy studies on proton-rich nuclei, in order to investigate the evolution of nuclear structure of these exotic species. At the edges of the nuclear
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at temperatures orders of magnitude below those of interstellar space and studying their magnetic, structural and electrical properties. As a student, unusually for the field, you will experience all parts
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of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic research team working across aerospace, automotive, energy, defence, and
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to structural design models to quantify the potential impact on key drivers of offshore wind farm economics. Specifically the impact of advanced wake models on wind farm energy yield forecasts, hence revenue, and
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sustainability, and healthcare. The ability to control the pore environment of the MOF is one of their remarkable advantages and enables control over the structure and properties required for specific applications
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, shocks, vortices, thermal gradients and structural stresses often occur in regions that are closely linked to the geometry of the problem. In current industrial workflows, these phenomena are commonly
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-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
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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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structured datasets. These will support AI applications in paediatric care, enabling early detection of conditions and personalised treatment planning. A human-in-the-loop (HITL) approach will ensure clinical