610 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" uni jobs at University of Sheffield
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applicants only References "Lab website https://cellplasticity.weebly.com/ Recent work from the lab Plygawko, A.T., Adams, J., Richards, Z. and Campbell, K. (2025) A hormonally regulated gating mechanism
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Engineering, Computer Science or a related discipline (or close to completion/equivalent relevant experience). Essential Application Relevant postgraduate research or industrial experience in Electronic
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Customer Services Team Leader Our website https://www.sheffield.ac.uk/acs For informal enquiries about this job contact Alison Helliwell, Customer Services Team Leader at a.helliwell@sheffield.ac.uk Next
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apply. Criteria Essential or desirable Stage(s) assessed at A first degree in Electronic Engineering, Computer Science, related discipline or equivalent industrial experience. (or have equivalent relevant
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, and a competitive living stipend. First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form using the following link: https
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opportunity for a postdoctoral researcher to contribute to a high-quality in vivo research programme in stem cell and vascular biology with direct relevance to tissue regeneration and inflammatory disease. Led
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see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. How To Apply Please see this link for information on how to apply: https://www.sheffield.ac.uk
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, software & cloud based applications, configure network services for Windows and macOS. You will organise and coordinate resource and work activities including all aspects of device management and IT support
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to refine but not overrule domain knowledge. Funding Notes This project is for self-funded and externally funded students only. References MPS - Research Cluster (Mathematical and Statistical Modelling) https
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Particulate Modelling for Next Generation Batteries, you will develop new theoretical and computational understanding of the relationships between manufacturing methods and conditions, the resulting particle