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immunology to assist us in new focused studies of immunometabolism supported by a newly funded team science U54 grant. Specifically, we will be using single cell and spatially resolved approaches to analyze
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at Washington University School of Medicine in St. Louis. We are seeking a highly motivated and detail-oriented individual to join our research team. The goal of the lab is to perform detailed molecular analysis
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and epidemiological studies. Will assist in multiple research projects with data analysis including analysis of spatial transcriptomics data generated through the 10x Genomics platform. There may be
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/analysis in participant interviews; assembles proper testing packets for study participants and confers with participants to explain purpose of study; explains procedures to address participant/family
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or as a team member in utilizing developed methodologies. Next-generation sequencing, library preparation (ATAC-seq, scRNA-seq, snRNA-seq and spatial sequencing platforms) and analysis. Ability
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and/or python programming languages and familiarity with Seurat is preferred. This position will offer opportunities to contribute to ongoing spatial transcriptomics and structural biology (CryoEM
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from multiple projects. The Data Analyst should have experience in applied policy or economic research including: Econometric modeling or other rigorous methodological approaches (e.g., spatial analysis
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Scheduled Hours 40 Position Summary The Tsai lab uses the zebrafish spinal cord as a model to understand how cells form precise spatial patterns and structures in embryo development. The fundamental
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). Specifically, we will be using single cell and spatially resolved approaches to analyze human tumor specimens collected before and during chemotherapy and radiation treatment. Platforms employed include WES, WGS