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Intensive in Microbial Bioinformatics, providing instruction and mentorship in R, Python, and command-line tools for microbiome and metagenomic analysis. Collaborate with faculty, staff, and industry partners
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with a diverse range of research interests, including virology, host-pathogen interactions, bacterial pathogenesis, immunology of infectious disease, microbial evolution and adaptation, and therapeutic
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applications from motivated biology graduates who share an interest in microbial ecology and evolution and sustainable agriculture. For more information see: https://sites.google.com/sheffield.ac.uk/harrisonlab
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not limited to, host-pathogen interactions, microbial disease ecology, microbiomes, bacteriophages, or synthetic biology. Research expectations include developing and sustaining an externally funded
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://www.pandhalresearchgroup.co.uk and https://sheffield.ac.uk/photosynthesis) and industry partner Deep Blue Biotech (https://deepbluebiotech.com), the student will gain training in molecular biology, microbial physiology
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. The technician will play a central role in Phase 1 of the project (abiotic lab simulations) and contribute to subsequent phases (field incubations and microbial enrichment studies). We are looking for applicants
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
background in microbial genomics, evolutionary biology, bioinformatics, or computational biology, with an interest in translational applications that connect bacterial evolution to clinical impact. Experience
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University of California Agriculture and Natural Resources | Davis, California | United States | 3 months ago
accordance with UC ANR Flexible Work Guidelines flexible work agreements are available upon approval by supervisors and periodic re-evaluation. Desired Qualifications and Experience Knowledge of microbial food
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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investigate the biodiversity of marine coastal ecosystems with and without the presence of nearby low-trophic aquaculture farms, and microbial diversity associated with biogeochemical cycling of nutrients