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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
tracing, and/or cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
and microglial biology, using cutting-edge methodologies including: two-photon microscopy, miniatured microscope, optogenetics, behavioral phenotyping and transcriptomics. Work duties Lead independent
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original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data. This position is
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transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental
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integrating multi-omics (single-cell RNA- and ATAC-seq, spatial transcriptomics) and genetics to understand the biology of human aging, with a focus on neurodegenerative diseases and personalized medicine. Job
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assays, single-cell transcriptomics, and HLA-immunopeptidomics. You will identify how ERAP2 variants and small-molecule modulators alter the peptidome on EBV-infected B cells and how this shifts
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. They will include genetic manipulations (RNA interference, CRISPR), transcriptomic and proteomic approaches, protein analysis (immunolabeling, Western blot, immunoprecipitation, purification), imaging (real
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transcriptomic profiling of cell lines and human primary tissues. This work will provide important advances in our understanding of human blood stem cell biology in the context of normal and neoplastic
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-throughput functional genomics data sets on the genome, epigenome, and transcriptome in disease-relevant tissues/cells and use of computational approaches to integrate and analyze this data to identify
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presentation, HLA expression, interferon-response signaling, HER2, or tumor-intrinsic immune evasion. Experience with epigenetics, chromatin biology, transcriptomics, DNA methylation, ATAC-seq, RNA-seq, or other