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. To tackle these questions, they combine in vivo CRISPR screening with single-cell multi-omics, spatial genomics, and chemical biology tools. Their work is deeply collaborative, both within the lab and across
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to serve as the organization's internal subject matter expert through a multi-workstream benefits transformation. This is a limited-term engagement, focused on a defined and consequential body of project
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representation is the right tool (complex entity relationships, lineage, multi-hop reasoning), the knowledge graph gets built and operated alongside it. This work happens in partnership with the Principal AI
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genetics, genome engineering, advanced microscopy, quantitative image analysis, single-cell and spatial multi-omics, biomaterials, and engineered in vitro model systems to investigate how the aging
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across HHMI. The Foundational Microscopy Image Analysis (MIA) project sits at the heart of AI@HHMI. Our ambition is big: to create one of the world’s most comprehensive, multimodal 3D/4D microscopy
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labs across HHMI. This role is part of the AI+CryoET project within AI@HHMI, a multi-institutional project at the intersection of cryo-electron tomography (cryoET), molecular dynamics simulation, and