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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector activities. Brief
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assessment methodologies for power grids with high penetration of RESs. Improve computational efficiency in large-disturbance stability analysis to reduce reliance on time- domain simulations. Apply
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well as high-throughput screening strategies to identify small molecular compounds that might serve as novel therapeutic agents in disease using cell culture, kidney organoid, and mouse models. Successful
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector