693 computer-security "https:" "https:" "https:" "https:" "Keele University" positions at University of Sheffield
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the option to develop numerical simulations of the spicule processes by means of our market-leading computational tools, would that be a preferred methodology of the student. This project may require
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communicate results to Project Manager, Senior Project Manager and some essential operational areas. At times communication to the customer programme manager is required to support the work of the AMRC. Present
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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
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ACCE+ DLA Programme: Engineering underground ecosystems for sustainable legume production School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Ellie Harrison, Prof
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publications in recognised high-quality/peer reviewed journals, ensuring that research activities align with REF, outputs, impact and environment. Develop funding strategies, pursue income generation and secure
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BBSRC Yorkshire Bioscience DLA Programme: Tackling ageing in the gut: investigating the contribution of macrophages in the intestinal stem cell niche to gut maintenance and repair School
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macropinosomes to retrieve membrane proteins and therefore sustain both immune and cancer cell function. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
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. Visit http://www.sheffield.ac.uk/sgs to learn more. Funding Notes First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form
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BBSRC Yorkshire Bioscience DLA Programme: Directing Stem Cell Fate – The Role of Ribosomal RNA Modifications School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr E
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, and constraint satisfaction. This new framework would also allow higher flexibility in managing the trade-offs between solution accuracy, optimality, and computational efficiency, to better adapt