271 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Sheffield
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Production) programme, one of the major challenges is to develop manufacturing techniques that can deliver complex, high-integrity and scalable reactor components. This PhD project will focus
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to the goals of the national Quantum technology programme. Funding Notes This project is for self funded students or students who have secured external funding only. References https://ldsd.sites.sheffield.ac.uk
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at international conferences, develop independent ideas, and grow as an independent researcher. Entry requirements: For entry into this PhD programme you should hold, or expect to hold, an honours degree in a
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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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BBSRC Yorkshire Bioscience DLA Programme: Carbon Capture Rice School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Julie Gray, Prof Katie Field Application Deadline
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should have a good knowledge of particle physics and experience programming in Python or C++. Candidates who are interested in multiple projects within our group need only register their interest once and
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considered. Candidates should be aware of and meet the entry requirements for the university hosting the PhD studentship. Funding Notes The programme is four years and starts in September 2026. Funding
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may also be considered. Candidates should be aware of and meet the entry requirements for the university hosting the PhD studentship. Funding Notes The programme is four years and starts in September
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previous experience of using CFD would be useful but not essential. Funding Notes The programme is four years and starts in September 2026. Funding includes full UK fees, tax-free stipend (2025/2026 stipend
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lab (https://thejohnstonlab.sites.sheffield.ac.uk/) will provide training human infectious disease in a variety of in vivo models and novel imaging approaches to understand fungal infection biology and