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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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We are seeking to appoint a Research Assistant in Bacterial Evolution to join the UKRI FLF-funded research group of Dr Rachel Wheatley, based in the School of Biological Sciences at Queen’s
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: an interdisciplinary approach to understanding the interaction between bacterial pathogens of environmental and zoonotic origin and the host’s innate immune system. ” In this thesis, we will develop structured partial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
. Position Summary The Liu Lab in the Department of Genetics is looking for a Research Associate to conduct bacterial phenotyping research to characterize evolved physiological traits and systematically link
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. Its main objective is to understand how these pathogens colonize the intestine and disrupt microbiota balance, focusing on the role of the bacterial intercellular communication system known as quorum
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candidate will investigate the functions of bile metabolites induced by bacterial infection. We aim to advance our understanding of how infection-stimulated bile metabolites influence intestinal defense
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position within a Research Infrastructure? No Offer Description Topic: Development of Advanced Nanomaterials for Human Bacterial Infections Annotation: Human bacterial infections, including those caused by
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for microscopy. * Ability to assist with bacterial culture and standard microbiology tasks. * Accurate and timely record keeping and organizational skills. * Excellent interpersonal, oral, and written
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external nitrogen inputs. Surprisingly however, key bacterial genes required for this complex trait are 'mobile' i.e. encoded on plasmids or integrative and conjugative elements - DNA elements capable
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The Mijakovic lab at Chalmers SysBio (Mijakovic Lab | Chalmers ) is recruiting a postdoctoral fellow who will contribute to AI-driven development of inhibitors for bacterial protein-tyrosine kinases