644 professor-computer "https:" "https:" "https:" "https:" "https:" "Brunel University London" uni jobs at University of Sheffield
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-time Duration 24 months (start: 1st July 2026) Line manager Project Co-Lead Direct reports None Our website https://www.sheffield.ac.uk/mac For informal enquiries about this job contact Professor Pierre
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website https://www.sheffield.ac.uk/mac For informal enquiries about this job contact Prof. Damien Lacroix, Professor of Biomedical Engineering: on d.lacroix@sheffield.ac.uk Next steps in the recruitment
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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of Computer Science in the University of Haifa. He is currently a Professor in the School of Computer Science in the University of Sheffield (and on leave from the University of Haifa). For a full list of Prof Meir
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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
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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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of the proofreader, the reasons they solicit proofreading, who they ask to proofread and why, etc. Applicant Profile Applicants wishing to apply to research this project would be supervised by Professor Nigel Harwood
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skill via an intrinsic reward. Science Advances, 10(13), eadj3824. https://www.science.org/doi/full/10.1126/sciadv.adj3824 Durstewitz, D., Koppe*, G., & Toutounji*, H. (2016). Computational models as
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, with an active programme of seminars and a journal club. Funding Notes This project is for Self-funded students or students with external funding. References https://gravity
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were constructed. The results will be compared with those for a charged scalar field [2]. The second part of the project involves computing the renormalized expectation value of the stress-energy tensor