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, including analyzing metagenomic data (e.g., virome) and phylogenomics, statistics, and an interest in infectious disease research. The ability to develop novel computational methods using machine learning
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investigating the microbiological and immunological basis of noma. You will lead defined components of the bioinformatic analysis of shotgun metagenomic sequence data generated from oral samples collected from
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for a creative post-doctoral scientist with strong background in soil microbiome, multi-omics [metagenomics/transcriptomics/metabolomics], as well as bioinformatics. Responsibilities: This researcher will
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be shown. Preferred Qualifications: ● Experience analyzing genomic and/or metagenomic data using computational methods. ● Experience developing new approaches for the analysis of biological
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Nanopore). Experience in microbial ecology, metagenomics, molecular genetics, and / or evolution. Brief Description of Duties: The Postdoctoral Associate will conduct research in marine microbial ecology, in
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study characterizing translation functions across human 5′ UTRs (Lewis et al., Molecular Cell, 2025. PMID: 39706187). Responsibilities will include computational mining of viral metagenomic databases
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-throughput sequencing datasets, including eDNA, metabarcoding and metagenomic, data. Integrate molecular, ecological and environmental datasets to address research questions related to biodiversity, pollinator
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microbial genome sequencing, metagenomics, metabolomics, transcriptomics, single-cell or spatial profiling, and computational analysis. These technologies will be used primarily to identify microbial
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in bioinformatics, metagenomics, and microbial community analysis to join a research team investigating bacteriophages within the oral microbiome. The Postdoctoral Scholar will lead the computational
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and metagenomic data. compile, manage, and analyze datasets with appropriate statistical methods including univariate and multivariate methods. lead preparation and publication of peer-reviewed