558 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at University of Sheffield
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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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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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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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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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expertise of the wider lab including staff and students. Please see our website for more information about the lab: https://sites.google.com/sheffield.ac.uk/sheffieldcogdev/home Funding Notes Our entry
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for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self-funded and externally funded students only References Key publication: https://doi.org/10.1111/ele
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collaboration with diverse communities, researchers, clinicians, and policy experts. You will work alongside a multidisciplinary team and use both qualitative, quantitative and computational modelling methods