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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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are attracted to work at UEL to be supported to develop and grow and deliver their best work in a hard-working and encouraging environment. About the Job As our Learning & Development Partner, you'll play a key
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behaviour, improve your communication abilities and experience the breadth of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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, 16(1), 5396. https://www.nature.com/articles/s41467-025-60943-7 Toutounji, H., Zai, A. T., Tchernichovski, O., Hahnloser*, R. H., & Lipkind*, D. (2024). Learning the sound inventory of a complex vocal
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Feedback control of tokamak plasmas via deep learning policies with robustness guarantees (S3.5-ELE-Drummond) School of Electrical and Electronic Engineering PhD Research Project Competition Funded
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) Start date: September 2026 Project Title: HEALS: Heat, Health, and Learning: Co-Designing Climate-Resilient Strategies for Primary Schools in Oxfordshire Director of Studies: Prof Rajat Gupta Supervisors
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Learning and Teaching Administrator ( Job Number: 25001665) Department of English Studies Grade 4: - £24,843 to £26,093 per annum Open-Ended/Permanent - Full Time Contract Duration: N/A Contracted
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. The postholder must have registration with the Nursing Midwifery Council (NMC) and have experience of supporting and supervising learners. Key areas of responsibility Assist organisations to identify learning and
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Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications