644 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions at University of Sheffield
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Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Bei Peng, Dr Zheng Yuan Application
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through their programme. The ideal candidate will have outstanding customer service and interpersonal skills, and an ability to put people at ease through sophisticated and sensitive verbal and non-verbal
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Transforming Materials Discovery: Real-Time Insight from Neutron and X-ray Scattering (S3.5-MPS-Parnell) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Dr Andrew Parnell, Dr Max Champneys Application Deadline: 15 January 2026 Details A...
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at the University of Sheffield. Single photons are the indispensable information carriers for core quantum technologies, including quantum communication and computation. The critical hurdle is the reliable
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ACCE+ DLA Programme: How do global and climate-driven migrations affect local functional diversity?
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training support grant over four years. Whether it’s for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the resources to succeed. Work with the Best: Team up
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coordinate our community fundraising and in-memory programme to typically raise over £150,000 per year, as well as project managing direct mail, digital appeals and stewardship communications. Acting as an
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students Worldwide Dr Max Champneys, Dr T Rogers Application Deadline: 15...
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on semi-automated segmentation, classical registration techniques for motion correction, and iterative algorithms for parameter mapping – leading to computation times of many hours or even days per case
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. The project will leverage existing city stock models from the BuildZero research programme to make city level analysis viable. This project will be co-supervised by Dave Cheshire from AECOM, who has been