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Field
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evolutionarily conserved structured RNAs and candidate mammalian riboswitches from large genomics and transcriptomics datasets. The position will involve close collaboration with experimental scientists who will
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cellular and vascular dysfunction in neuroAIDS. These studies will involve advanced molecular biology, including single cell transcriptomics, genomics and epigenomics, data analysis and interpretation
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executes experiments using mouse models that includes breeding colony management and genotyping. Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and
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human health. Within this mission, the Glastonbury Group uses machine learning applied to large-scale digital pathology and spatial transcriptomics datasets generated in-house to understand the
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includes bulk RNA-seq, single-cell RNA-seq, proteomics, metabolomics, ATAC-seq, ChIP-seq, spatial transcriptomics, spatial proteomics, spatial metabolomics and imaging mass cytometry (CyTOF). A major
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The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal model systems and
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statistical learning frameworks to decipher single-cell and spatial transcriptomics data, with the goal of uncovering cellular and tissue dynamics underlying cancer, inflammation, and tissue senescence
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Core, to develop and implement emerging technologies in areas such as spatial transcriptomics, multiplex imaging, quantitative pathology, and computational tissue analysis. The Histology Core
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, genetics, genomics, biostatistics, or a related field Experience with single-cell or spatial transcriptomics Demonstrated experience analyzing next-generation sequencing data (e.g., WES/WGS, bulk or
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transcriptomics and cellular imaging. Under the supervision of the faculty member, the Research Technician I will prepare research data, implement and evaluate statistical methods, conduct simulation