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Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global scales. Specific project ideas could
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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) biology and osteoarthritis - Mouse genetic models and lineage tracing - Single-cell RNA sequencing and spatial transcriptomics - Skeletal mechanobiology and functional loading models - Gene therapy and
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that connect single-cell and spatial transcriptomic data to mechanistic, biophysically grounded models of gene regulation. There is also scope to work on exact and approximate solutions of stochastic models
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, PCD, and COPD). Yu lab utilizes human donor lungs, pig and mouse models, organoid culture, and single-cell and spatial transcriptomics to understand how inflammation and disease progression remodel
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development Identify, evaluate, and implement cutting-edge methodologies (e.g., single-cell sequencing, spatial transcriptomics, CRISPR screens, PDX/organoid models) relevant to pediatric cancer biology
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-tracing mouse models, lung injury and tumor-initiation systems, single-nucleus multiome (RNA and ATAC) and spatial profiling, and validation in human early-stage lung adenocarcinoma specimens. The position
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hematological neoplasms and aberrant cell signaling. Utilizing multi-omics, mouse models (GEMMs/PDXs), and human biospecimens, the incumbent will conduct independent research to uncover novel therapeutic targets
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | 2 months ago
lineage-tracing mouse models, lung injury and tumor-initiation systems, single-nucleus multiome (RNA and ATAC) and spatial profiling, and validation in human early-stage lung adenocarcinoma specimens