377 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield in United Kingdom
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The control of plant productivity and development by chloroplast signals
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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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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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to the complex interaction of thermal, mechanical, and chemical processes occurring across multiple scales. This PhD project will develop a new class of multiphysics, phase-field-based numerical models
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bridges and wind turbines respond to traffic, wind, waves, temperature, and other factors. In doing so, they help engineers monitor condition, anticipate problems, and proactively plan maintenance, and are
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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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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)
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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 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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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