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Field
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. The student through participation in team meetings and training with the team will deploy a numerical model (4SAIL) to study the combined effects of the vegetation-soil system temperature and canopy reflectance
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representing curved surfaces with piecewise linear approximations. The error introduced by using FE is particularly limiting when modelling dynamic events, as numerical dispersion and dissipation error of waves
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(IoT) device ecosystem. Despite the technology’s potential, however, flexible electronics face numerous technology challenges. This PhD project aims to tackle one of the most critical technology
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to date by validating numerical models against test data, before undertaking parametric studies to investigate the sensitivity of the key variables that affect the flexural performance of composite steel
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 15 days ago
(MS) to study reaction and drying kinetics. X-ray Diffraction (XRD) for crystalline phase identification. Scanning Electron Microscopy (SEM-EDX) for microstructural and elemental analysis. Numerical and
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asymptotic analysis and other perturbation methods, and numerical, i.e. an existing in-house code will be modified to achieve the objectives. This project offers the unique opportunity to develop strong skills
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and embrittlement by precisely optimizing additive manufacturing parameters. By combining experimental investigations, advanced microstructural analyses, and numerical simulations, a novel manufacturing
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operation costs significantly. Besides, there is an opportunity to explore the commercialisation paths of the developed smart sensor prototype. You will gain from the experience in numerous ways, whether it
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deploy these technologies in the industry context without the need for big datasets. You will gain from the experience in numerous ways, whether it be transferable skills in the technical area of
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory