628 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions at University of Sheffield
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interdisciplinary research. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes This is a self-funded project. Applicants must secure their own
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of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk
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found at the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Applicants can apply for a Scholarship from the University of Sheffield but should note that competition
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BBSRC Yorkshire Bioscience DLA Programme: Exploring the role of L,D-transpeptidases in the cell envelope remodelling of Rhizobium leguminosarum during symbiosis with legumes School of Biosciences
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BBSRC Yorkshire Bioscience DLA Programme: Plant protection products as accidental drivers of antimicrobial resistance in agriculture. (CASE Project) School of Biosciences PhD Research Project
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Optimisation of powder processing routes for plutonium disposition: impacts of milling and additives
) through bespoke training programme of the Hub. How to apply Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your
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"ROSEHIPS" Programme Grant. The ROSEHIPS project is focussed on creating new technology for Population-Based Structural Health Monitoring (PBSHM). It is a consortium between the Universities of Sheffield
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ACCE+ DLA Programme: Wetlands within water towers: How will bofedales respond to climate change? School of Geography and Planning PhD Research Project Competition Funded Students Worldwide Dr Jeremy
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ACCE+ DLA Programme: Assessing the extent and drivers of illegal Selective Logging across Peru School of Geography and Planning PhD Research Project Competition Funded Students Worldwide Dr RG
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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