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high-dimensional biological data. Preferred Experience developing deep learning models for multimodal biomedical data. Experience with imaging, single-cell, spatial transcriptomics, electronic health
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. Preferred Experience with GWAS, biobanks, or population-scale genetics. Experience with single-cell, spatial transcriptomics, or functional genomics. Experience developing research software for large-scale
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, advanced analytics and cutting-edge -omics technologies, and apply state-of-the art methods in transcriptomics, biochemistry, fluorescence and cryo-electron tomography to illuminate the biology of RNA and
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University of California San Diego - Ganesan Lab | Mision de San Diego de Alcala, Baja California | Mexico | 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