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. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess the structural performance of composite sleeves under operational conditions
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larger effort to map material performance limits and unlock untapped robustness in engineering alloys. You will: Develop and implement physics-based microstructural models to simulate damage and fatigue
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across both physical and digital technologies, to deliver a cyber-physical platform for the autonomous inspection, digital representation, and maintenance of highways. The successful candidate joins a
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, but it would be possible for those with mathematics, physics or other computational training to learn the healthcare context Experience in one or more of the following would be desirable: Programming in
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backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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multiscale metamaterials with sub-200 nm resolution. The research spans fundamental optical physics through to applications, and the student will develop skills in electromagnetic simulation, nanofabrication
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account and use the link sent by email to start the application process. During the application process please select the PhD in Psychology. *Important notes* 1) Please quote the reference ‘DRC25-023’ in
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or joining thin-wall Titanium and Nickel alloys at high temperatures. Due to the unique material behaviours of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is
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vacancy of a technical nature, please contact Prof. E. Mastorakos (em257@eng.cam.ac.uk ). If your query concerns the application process, please contact: Mrs Kate Graham, email kag1000@cam.ac.uk . Please