591 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs at University of Sheffield
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-dispersive X-ray spectroscopy (EDX), which will generate enhanced chemical sensitivity and improved precision for investigating atomically thin films. We will develop a new and cheap methodology that can
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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
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project will develop a physics-informed digital twin for offshore wind foundations, combining ultrasonic guided wave monitoring, high-fidelity finite element simulations, Bayesian inference, and machine
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Method. The basic idea is that the direction into which stiffness recovery under compression takes place is altered for a crack that develops under compression. Only one layer of elements per ply might be
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needs, this research topic brings together expertise in semiconductor optoelectronic devices, novel optical systems and laser powder bed fusion processes in order to develop AM systems that are tuned
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to the Phase-field research and growing knowledge by: (1) using already developed codes to assess pros and cons of Phase-field in interesting benchmark problems. The subroutines -already tested for Abaqus- will
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@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place on 7th April 2026. This will consist ofInterview and activity. We plan to let candidates know
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to modelling unbounded continuous quantities of interest is to assume symmetric error terms (eg Gaussian or Student), but this assumption is often not met in practice. Several approaches have been developed
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the recruitment process It is anticipated that the selection process will take place during March 2026. This will consist ofan interview. We plan to let candidates know if they have progressed to the selection
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such critical infrastructure. This PhD project will develop a novel data-driven framework for discovering interpretable material models applicable to high-temperature and high-stress environments. Working in