419 computational-physics-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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is central to monitoring engine health, predicting future behaviour, and supporting maintenance decisions. Understanding the physical damage mechanisms that drive degradation is crucial for improving
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, programme and budget. · Carrying out maintenance project works, identifying the requirements of departments and preparing a design brief. Preparing designs for minor works including specification and
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research project Nextrode, which is developing new manufacturing methods for electrodes. Electrodes are traditionally manufactured using the slurry casting process, which involves large volumes of solvents
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For informal enquiries about this job contact Jodie Finlay, Helpdesk & Systems Manager: on j.e.finlay@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will an in
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Award at the University of Sheffield. Modern engineering relies heavily on computational models that predict how structures behave under real operating conditions. These models simulate how assets such as
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Azetidine Boronic Ester Building Blocks for Medicinal Chemistry (S3.5-MPS-Partridge) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Dr
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Advancing Blood Pressure Monitoring with Wearable Technology and Multimodal AI (S3.5-COM-Sun) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Shaoxiong Sun
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field of the development of composite materials and process dev, the core focus of this prestigious leadership role will be to provide leadership and inspiration to the team, ensuring the on time and to
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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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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang)