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develop next-generation computational approaches to understand cellular and tissue biology from single-cell, spatial, imaging, and multimodal molecular data. You will develop models that capture cellular
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develop computational methods that connect human genetic variation to biological function. Using population-scale human genetics together with single-cell, spatial, and multimodal molecular data, you will
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will combine CRISPR/Cas9-mediated gene editing, perturbation screening, high-end flow cytometry, functional immune assays and single-cell multiomics to identify cellular and molecular determinants
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University of California San Diego - Ganesan Lab | Mision de San Diego de Alcala, Baja California | Mexico | about 2 months ago
, Alzetani A, Seumois G, Thomas GJ, Ganesan AP, Friedmann PS, Sanchez-Elsner T, Ay F, Ottensmeier CH, Vijayanand P. Single-cell transcriptomic analysis of tissue-resident memory T cells in human lung cancer. J