654 computer "https:" "https:" "https:" "https:" "UNIV" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: Mechanical microenvironment as a regulator of ribosome biogenesis and cell growth School of Biosciences PhD Research Project Competition Funded Students
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BBSRC Yorkshire Bioscience DLA Programme: The role of keratin networks in cell division in tissues under tension School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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of the most significant challenges facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PuMaS hub will support ~20 PhD students along
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BBSRC Yorkshire Bioscience DLA Programme - ER Phone Home: Defence Signalling from the Endoplasmic Reticulum to the Cell Wall. School of Biosciences PhD Research Project Competition Funded Students
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BBSRC Yorkshire Bioscience DLA Programme: Signalling complexes and cell wall changes during plant reproduction School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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BBSRC Yorkshire Bioscience DLA Programme: The role of long non-coding RNAs in guard cell function and development School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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of synchronised states using analytical and statistical techniques. Funding Notes This project is for self-funded or externally funded students only. References 1. Synchronisation of rotating turbulent (https://www
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entry requirements and research at the University of Sheffield, and how to apply visit our school’s webpages at https://www.sheffield.ac.uk/biosciences/postgraduate/phd Science Graduate School As a PhD
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microbiological culturing, molecular skills, bioinformatics and statistics. The project is flexible and can be guided by the interests of the student. Please apply for this project using this link: https
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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate