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Regulation of bacterial adherence to human cells by ZDHHC5-mediated S-acylation of cell surface proteins. School of Biosciences PhD Research Project Self Funded Dr M Collins, Dr Luke Green
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-dependent MLCS regulation on lysosomal trafficking, mitochondrial quality control and hypoxia-induced cell death. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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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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Quantifying the distribution of the energy flux through the solar atmosphere generated by ubiquitous multi-scale vortical plasma motions School of Electrical and Electronic Engineering PhD Research
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Role of the extracellular matrix in skeletal muscle stem cell function School of Biosciences PhD Research Project Self Funded Dr A G Borycki Application Deadline: Applications accepted all year
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3D Solar Flare simulations: a hybrid MHD-beam approach School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Malcolm Druett Application Deadline: Applications accepted
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the University of Sheffield online application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as
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Training Program. Associate Professors will take active leadership roles in research development, supervision, and external funding initiatives. What we expect Applicants must hold a PhD in Energy
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Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica
understand how these host defences or how they are regulated. Thus, we seek an enthusiastic PhD researcher to study the mechanisms by which DNA damage responses activate innate defences against major pathogens
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Job related to staff position within a Research Infrastructure? No Offer Description Duration: 1-year fulltime contract l Location: hybrid (Ghent, Leuven) Key words: Single-cell omics, AI, Virtual Cell