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Field
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protein complexes exist in their native cellular environments a central challenge in understanding the molecular logic of these pathogenic bacteria. By combining cutting-edge proteomics and structural
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responses, including gene expression (RT-qPCR), miRNA/small-RNA profiling and secondary-metabolite profiles. Investigate interactions between EV treatments and bacteria involved in the nitrogen cycle, linking
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well as understanding bacterial stress responses under environmental perturbations. The project will involve cultivating environmental bacteria from soil under controlled laboratory conditions and integrating wet-lab
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bacteria evolution, focused on how host range and pathogenicity of Pseudomonas syringae is genetically determined. The position will be roughly split between the laboratory (60%), computational analysis (30
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mechanisms of immune systems that defend bacteria against viral (phage) infection. The successful applicant will join a multidisciplinary team studying CRISPR–Cas complexes, Defense-associated Reverse
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the context of the catheterized urinary tract. Current funded research is focused on identifying genomic adaptations that occur within bacteria during prolonged colonization of a urinary catheter and examining
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goal is to advance our understanding of the gut microbiota at the molecular level. We study microbial functions important for bacteria to colonize and survive in the gut habitat. Potential projects
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) from bacteria. To test the effects of these EVs, you will be using the model organism C. elegans. This work involves the use of classical genetics, transgenic reporter strains and proteomic and
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Polymerase Allocation Under Stress How does a single bacterial cell decide which genes to switch on when it is under attack? When bacteria face stress, such as during infection or antibiotic exposure
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studies focus on bacteria and taxonomic descriptions, which offer limited predictive power and poor biological interpretability. This project focuses on the underexplored fungal component of the microbiome