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mapping, scalable manipulation of individual regulatory elements, and single-cell, isoform-sensitive measurements of translation in vivo. We are recruiting highly motivated and talented scientists who will
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science, scalable data analysis, and next-generation experimental workflows that link data acquisition, analysis, and interpretation. We are seeking an ambitious Postdoc to join us in shaping how AI-enabled
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or contribute to large
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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers