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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
new immune-epithelial-mesenchymal co-culture models; perturbation approaches to define region-specific transcriptional regulation of epithelial homeostasis; characterization of sputum and mucus
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, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while contributing
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are emerging as potential levers to mitigate the effects of warming. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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profiling, molecular biology, cancer genomics, and in vivo preclinical modeling. Examples of representative recent papers led by wet-lab scientists in our lab (as first author) include: https://www.nature.com
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, multidisciplinary collaborative research environment. Primary Responsibilities Lead the state-of-the-art research using genetic mouse models for histology, single-cell transcriptomic, and spatial transcriptomic
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-BiFC knockin mouse models to 1) determine how PDGF ligand identity and concentration affect receptor dimerization and internalization using flow cytometry and CITE-seq in combination with spatial
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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program seeks to increase our understanding of the immunological and molecular mechanisms involved in autoimmune dysregulation in Type 1 diabetes (T1D). Through the use of novel murine models of T1D, human