408 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" uni jobs at University of Sheffield
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round Details This project explores how machine learning and artificial intelligence can transform the scholarly digital editing process, not only by potentially automating and enhancing editorial
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development, machine learning and signal processing, and system integration. We are interested in working on different areas to improve the BCI technology. These areas include (but are not limited
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Overview The School of Electrical and Electronic Engineering seeks to appoint a Lecturer in Electrical Machines and Power (equivalent to Assistant Professor), with expertise in one of the following
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Overview Learning Space Assistants act as the first point of contact for library customers either on Welcome or Information desks. Work at these desks could involve responding to customers’ library
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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
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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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, 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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, AI, and control systems Equipped with a strong background in robotics, machine learning, or control Strong programming skills in Python and experience with modern ML frameworks (e.g. PyTorch) Familiar
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http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper second 2(i) in
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, 11, 5746. https://doi.org/10.3390/su11205746 Gu, Y., Lancsar, E., Ghijben, P., Butler, J. R., & Donaldson, C. (2015). Attributes and weights in health care priority setting: a systematic review of what