718 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at University of Sheffield
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BBSRC Yorkshire Bioscience DLA Programme: Harnessing JAK-STAT signalling for optimal innate immune cell function School of Medicine and Population Health PhD Research Project Competition Funded
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ACCE+ DLA Programme: Uncovering the drivers of diversity in tropical savanna forests School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof R Freckleton, Dr
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skill via an intrinsic reward. Science Advances, 10(13), eadj3824. https://www.science.org/doi/full/10.1126/sciadv.adj3824 Durstewitz, D., Koppe*, G., & Toutounji*, H. (2016). Computational models as
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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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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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expertise on embryo-uterine interaction and computational analyses. For informal enquiries about the project, please contact Dr Adam Watkins (a.watkins@sheffield.ac.uk) Link to website: https
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BBSRC Yorkshire Bioscience DLA Programme: How do cells coordinate nutrient scavenging pathways? School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Jason King, Dr
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BBSRC Yorkshire Bioscience DLA Programme: The integrated stress response in ageing: the actions of ATF4 School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Mirre
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BBSRC Yorkshire Bioscience DLA Programme: The needle in the haystack – single molecule detection of extracellular vesicles in complex biological contexts School of Mathematical and Physical