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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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scientists, and collaborators at academic and health-system sites nationally and internationally. The position is supported primarily through the DISCOVER-AI initiative, a three-year project within
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The Ho Lab at Yale University School of Medicine (https://medicine.yale.edu/lab/yachiho/ ) is recruiting motivated, productive, independent, and collegial postdocs interested in viral infection, T
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themselves are hosted in their current repositories. The primary research goals include: Discovery of large-scale dataset repositories, and harvesting metadata from them, including the German NFDI network
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museum in America. Today, it serves Yale University, the wider New Haven community, and the public as a center of teaching, learning, and scholarship. The museum is open to all, free of charge, and is
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community, and the public as a center of teaching, learning, and scholarship. The museum is open to all, free of charge, and is committed to engaging audiences through thoughtful, creative, and relevant
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experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory
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means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested