679 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" uni jobs at University of Sheffield
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr M Val Martin
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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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careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper
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will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https
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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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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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arrangement Full-time Line manager Student Systems Team Leader Direct reports None Our website https://www.sheffield.ac.uk/it-services/about (opens in new window) For informal enquiries about this job contact
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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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molecular detail. You will use a combination of structural computational/artificial intelligence approaches, protein biochemistry and single-molecule techniques, such as optical tweezer assays and single