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original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data. This position is
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transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental
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, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental mechanisms that control RNA
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approaches for microbiome datasets ability to bridge fields, including microbial ecology, genomics/transcriptomics, statistics, immunology experience or interest in supervising students Location: This position
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publications. Experience working with large-scale biological datasets, including genomic, transcriptomic, proteomic, metabolomic, lipidomic, epigenomic, interactomic, structural, glycomic, or single-cell multi
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fertility using bovine and mouse models. Analyze and integrate genomic, transcriptomic, and epigenomic datasets using computational and statistical approaches. Develop bioinformatic workflows and contribute