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Field
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cut lung slices, transgenic rodent models, preclinical models of lung fibrosis, in vitro and in vivo testing therapeutic candidates, scRNAseq, spatial transcriptomics, confocal and electron microscopy
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, and multiplex assays for protein and metabolite profiling. c. Having in-depth knowledge on genomic and transcriptomic techniques such as qPCR, RNA-Seq, and microarray for studying gene expression
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Nanopore, with a strong emphasis on single-molecule chromatin fiber profiling (e.g. Fiber-seq). Applies and/or develops epigenomic and transcriptomic assays such as CUT&RUN and RNA-seq (including specialized
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. Proven publication record in peer-reviewed journals. Knowledge of bioinformatics tools for transcriptomic or proteomic data analysis. Experience in physiological assays (e.g., photosynthesis, chlorophyll
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. The postdoctoral researcher will have the opportunity to: Build a mechanistic model coupling wall chemistry, wall stiffness, and turgor pressure to receptor activation, using existing transcriptomic, compositional
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-based microarrays, immunohistocheistry, spatial transcriptomics and molecular analysis. The candidate is expected to be able to summarize data for inclusion in grant proposals and manuscripts; prepare
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studies of surgical patients, in vivo mechanistic studies (mice), and in vitro human primary cell experiments. Current studies focus on single-cell spatial transcriptomic characterization of the human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
assays, transcriptomics, and proteomics to study the fundamental mechanisms whereby integrins and their ligands, basement membrane components collagen IV and laminin, regulate epithelial cell behavior in
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. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and
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methods. Learns human organoid culture, genetic modification, and functional assays. Develops bioinformatics skills for analyzing genomic and transcriptomic datasets. Collaborative Opportunities: Works