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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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), ERJ (2022), ATVB (2022), and Hypertension (2023), Circulation (2024). We leverage cutting-edge technologies like genetic lineage tracing, CRISPR genomic editing, single-cell omics, and spatial
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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
scale analysis of multiplex spatial phenotyping across the tumor microenvironment with the possibility of integration of spatial transcriptomics. At the bench, the postdoc will perform confocal imaging
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-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify disease-relevant phenotypes
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. The postdoc will receive dedicated mentoring and training, along with opportunities to develop independent research, present at scientific conferences, and pursue external funding. Qualifications
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analysis pipeline for the resulting videos, and writing manuscripts. Additionally, this postdoc will work closely with a collaborative team of disease ecologists, movement ecologists, and veterinarians
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify