681 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "J. F" positions at University of Sheffield
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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
or other related disciplines. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the
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training opportunities designed to support your career development, including communication and technology skills that are essential in academia, and industry. Visit http://www.sheffield.ac.uk/sgs to learn
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funded or externally sponsored students only. Intakes are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https
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workflows, but also by helping to reimagine digital editions beyond the constraints of print-based models. In particular, it researches and analyses how computational and AI-driven methods, including but not
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students or students who have secured external funding. References https://onlinelibrary.wiley.com/doi/full/10.1002/anie.202213692 View DetailsEmail EnquiryApply Online
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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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migration. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References Nazemi et al., PLOS
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. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References Nazemi et al., PLOS Biology 2024
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use Kristin Lohwasser and Trevor Vickey as contact persons. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https
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Details This project explores the textual transmission and cultural influence of Petrarch’s poetry across different literary traditions and languages, integrating computational methods to enhance