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cultured endothelial cells and mouse models, integrated multi-omics (e.g., bulk and single-cell RNA sequencing, metabolomics, proteomics), quantitative imaging and causal inference, and targeted gene
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expression for tens of generations. It also involves image analysis to determine how the state of the cell changes over time and infer cellular memory from these measurements. We seek candidates with a Ph.D
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health, electronic health records, statistical genetics/genomics, network analysis, imaging data, causal inference, large-scale observational studies, and spatiotemporal statistics as applied
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quantitative field and be interested in building partnerships across disciplines within the University. We seek candidates with expertise in causal inference. The candidate may have experience in methods
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quantitative field and be interested in building partnerships across disciplines within the University. We seek candidates with expertise in causal inference. The candidate may have experience in methods