718 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" positions at University of Sheffield
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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)
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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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Developing a Mechanistic and Predictive 'Source-to-Health' Model for Airborne Engineered Wear Particle Toxicity (S3.5-SMP-Johnston)
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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computationally prohibitive for full-scale reactor design. To bridge this gap, we are developing a low-cost Coarse-Grid CFD (CG-CFD) approach. This methodology combines the industrial efficiency of sub-channel
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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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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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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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@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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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