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utilizing ex vivo airway epithelial cell models, including air-liquid interface (ALI) culture systems. Experience analyzing and interpreting transcriptomic datasets (e.g., RNA-seq). Experience working with
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, transcriptomic, and proteomic datasets to uncover biological mechanisms and generate novel research insights. The successful candidate will apply bioinformatics and statistical approaches to analyze high
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such as gene deletion, cloning, and expression, and vaccine development Hands-on experience with next generation sequencing workflows, including genomic, transcriptomic, or metagenomic library preparation
Searches related to transcriptomics
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