379 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield in United Kingdom
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evidence-based, climate-aware tools to plan infrastructure improvements. With limited budgets and the challenge of reducing emissions while adapting to climate change, it must prioritise investments
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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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-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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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)
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to changing conditions, and recover quickly, ensuring continuity of energy supply even under stress. This PhD project aims to address this critical challenge by developing a flexible and transferable resilience
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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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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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Developing a Mechanistic and Predictive 'Source-to-Health' Model for Airborne Engineered Wear Particle Toxicity (S3.5-SMP-Johnston)
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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