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Field
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environment. Accurately predicting flow and heat transfer in these systems is critical for safety, performance, and design assessments, yet direct high-fidelity simulations, such as Large Eddy Simulation (LES
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to identify the material degradation and coatings applications details in extreme environments. A novel techniques/method will be developed with focus on better prediction and more accurate measurement of
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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-based structural integrity model, validated using synchrotron X-ray microtomography and phase contrast imaging, to predict the lifetime of UK’s advanced gas-cooled reactors fuel cladding in storage
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potentially leading to significant reduction of their lifetime. Our ability to predict those volumetric changes right from the material level and to use that information to optimize battery cells is of
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operability, including prediction of critical phenomena such as water hammer. The methodology will be verified against industrial data regarding performance and operation. You’ll join a multidisciplinary team
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experimental data to constrain input parameters such as drop size, freezing rate, and ambient conditions. Model Validation: Compare model predictions with experimental results to validate accuracy. Sensitivity
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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models offer a powerful means to understand stroke mechanisms, predict treatment outcomes, and personalize patient care. By integrating numerical techniques like the finite element method and machine
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must have, or be predicted to obtain, a good degree (2.1 or 1st class) in Chemistry, or other relevant scientific discipline (e.g. Materials Science). Candidates with a particular interest in