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Governance with a focus on land use conflicts and social/spatial justice in the context of climate change (Reference code 173) Working time: 40 hours per week Term of the employment relationship: 1st
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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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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-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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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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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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send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine 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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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
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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