328 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Sheffield
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Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng)
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engineers to monitor and maintain shell structures in real time. By combining data from sensors with advanced computer models, a digital twin can continuously track how a shell responds to changing loads and
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consistency and quality of front-line services and process for all EDS activities, line managing the Receptionist, overseeing rotas and managing ad hoc cover arrangements. Independently plan and prioritise work
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Next generation processing methods for lithium-ion batteries (S3.5-CMB-Smith)
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physical, chemical, and mechanical degradation using a multimodal approach: Chemical Breakdown Analysis: Advanced chemical separation techniques, such as High-Performance Liquid Chromatography (HPLC), will
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Accessible Tinnitus Notch Noise Therapy via Machine Learning, Acoustic Metamaterials and Additive Manufacturing (with NHS and TinnitusUK)
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steps in the recruitment process It is anticipated that the selection process will consist of an interview. We plan to let candidates know if they have progressed to the selection stage within 2 weeks
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Improving fleet-based decision-making with causal artificial intelligence (S3.5-MAC-Hughes)
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of Biosciences For informal enquiries about this job contact Dr Luke Dunning, Senior Lecturer: on l.dunning@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will
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Lifelong Learning for Multimodal Farming Data Analytics in Precision Fertilisation Management (C3.5-COM-Yang) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr