194 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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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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Research Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the General Surgery clinical academic training programme led by
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BBSRC Yorkshire Bioscience DLA Programme: Developing cyanobacteria for enhanced light-driven biotechnology (CASE Project) School of Biosciences PhD Research Project Competition Funded Students
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: @helenkmatthews.bsky.social, @maiblab.bsky.social Institutional entry requirements for PhD: For entry into this PhD programme you should hold, or expect to hold, an honours degree in a related subject area with a 2:1 or first
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programme you should hold, or expect to hold, an honours degree in a related subject area with a 2:1 or first-class honours (or overseas equivalent). For applicants whose first language is not English, IELTS
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/V3g8CyJzU4xDi2fL9 Institutional entry requirements for PhD: For entry into this PhD programme, you should hold, or expect to hold, an honours degree in a related subject area with a 2:1 or first-class honours (or
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science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal, can be found on our website https
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BBSRC Yorkshire Bioscience DLA Programme: Deciphering the mechanism of apicoplast genome organisation in Plasmodium falciparum (CASE project) School of Biosciences PhD Research Project Competition
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BBSRC Yorkshire Bioscience DLA Programme: Harnessing JAK-STAT signalling for optimal innate immune cell function School of Medicine and Population Health PhD Research Project Competition Funded