517 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at University of Sheffield
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-to-phenotype mapping, and interactions with landscape processes. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded
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protein machinery regulating vesicle docking, priming and fusion will be investigated. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References
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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying All applicants should ensure that both references are uploaded onto their application as a decision will be
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for the project prior to submitting your application. [1] https://www.weforum.org/impact/carbon-footprint-manufacturing-industry/ [2] https://www.gov.uk/government/news/government-publishes-uks-third-climate-change
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& Development Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing
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Deadline: Applications accepted all year round Details The aim of this PhD programme is to develop efficient numerical strategies for the prediction and assessment of fracture. Our group has got success in
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ACCE+ DLA Programme: The inheritance of phenotypic plasticity in a wild mammal School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof J Slate, Dr Nicola Nadeau, Prof
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BBSRC Yorkshire Bioscience DLA Programme: Deciphering proton shuttling on the surface of biological membranes toward proton translocating channels School of Mathematical and Physical Sciences PhD
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that the toxin induces DNA damage responses in cultured cells that activates a senescence tumour suppressor mechanism (https://doi.org/10.1038/s41467-019-12064-1). Cells undergoing toxin-induced senescence undergo
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ACCE+ DLA Programme: The impact of climate change on sexually selected traits and its consequences for evolutionary fitness School of Biosciences PhD Research Project Competition Funded Students