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aeruginosa. The work combines evolution experiments with whole genome sequence analysis, bacterial genetics, and functional analysis. As a general reference, check out the group’s publications on AMR evolution
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
recruiting a postdoctoral research associate with expertise in computational genomics and bioinformatics focusing on long-read sequencing analysis. The successful candidate will contribute to ongoing NIH
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or
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preparation protocols for NGS and Oxford Nanopore sequencing, organising, recording and overseeing the handling of biological samples, performing preliminary analysis and interpretation of sequencing data
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
cloning/molecular biology, protein engineering and biochemistry, mammalian cell/tissue culture, flow cytometry, next-generation sequencing, transcriptomics, and animal models of disease. This is an
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analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Experience in both Bioinformatics/Genomics and Cancer
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, including RNA work, protein purification, mammalian cell culture, next generation sequencing genome-wide analyses (ChIP) and mass spectrometry. You will establish and optimise protocols, design and accurately
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including (but not limited to): Design and conduct independent research using bacterial genetics, animal infection models, and genome-wide functional genetic approaches. Analyze next-generation sequencing
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germplasm characterization, including calculation of sequence based genomic prediction and genomic selection values. To learn more about the USDA ARS NPGS and Plant Genetic Resources, visit our webpages