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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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at the time of application. Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS), scRNA-seq, spatial transcriptomics and very strong multi-omic data analysis skills
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profiling. More broadly, this work aims to establish a new experimental framework for spatial multi-omic analysis that complements existing spatial transcriptomics technologies. Responsibilities
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Expertise in primary cell isolation and culture, FACS, confocal imaging, and mouse genetics is preferred Experience with transcriptomics and programming language suitable for computational analysis (e.g. R
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function), multiplexed cytokines/chemokines/biomarker determinations, bulk transcriptomics on heterogeneous populations and sorted cell subsets, single cell transcriptomics (scRNA-seq), CITE-seq, scTCR-seq
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
motivated post-doc to study tumor-associated macrophages, using the latest in single-cell transcriptomic, spatial, and CRISPR technologies. We will provide salary support and technician assistance