654 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" positions at University of Sheffield
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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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ACCE+ DLA Programme: Small size, big impact: the importance of mosses and lichens in arctic ecosystem function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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neurological and cardiovascular disorders. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References GONZÁLEZ-SANTANA, A., ESTÉVEZ-HERRERA, J., SEWARD
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backgrounds with a degree in molecular biology/bioinformatics and a broad interest in epigenetics and genome informatics. Experience with programming and sequencing data analysis is highly desirable
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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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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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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including