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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
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School of Automotive, Aerospace, Chemical & Materials Engineering, this fully funded studentship suits candidates from mechanical, automotive, aerospace, materials, or physical science backgrounds
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, life cycle assessment, product design, ecotoxicology, material science) is essential. A relevant postgraduate qualification and/or experience in textile or transportation sectors would be advantageous
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processes and while this is a very specific application there are many uses for this type of technology and data. The ability to capture detailed movements of players over the entire pitch takes the landscape
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: The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse
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printing) is a digital technology and a key enabler for realising next-generation equipment designs that are less energy-intensive and more sustainable. This project will explore a new avenue: fabrication of
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scientists. Applicants should have completed (or closer to completion) their undergraduate degree in Physics, Material Science, Physical Chemistry or related Physical Sciences (preferably with first-class
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, materials science and physiology. The University is uniquely positioned to benefit any applicant interested in a future career in healthcare technology. The University emphasises the clinical translation
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions