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. Position Responsibilities Develop and implement machine learning and deep learning models to analyze and interpret high-throughput functional genomics data, such as ChIP-seq, RNA-seq, and ATAC-seq
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, molecular biology, CRISPR-based approaches, and mouse models is a plus. Supplemental Information How to Apply: Interested individuals within one year of having received their Ph.D. should send their CV, a
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Laboratory. The Tuveson Laboratory is interested in uncovering biological pathways and identifying novel therapeutic approaches for pancreatic cancer. To this end, we utilize both organoid and mouse models
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Laboratory is interested in uncovering biological pathways and identifying novel therapeutic approaches for pancreatic cancer. To this end, we utilize both organoid and mouse models of pancreatic cancer. We
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a relaxed and diverse atmosphere defined by constructive thought exchange. Opportunities to learn about model systems of disease, advanced microscopy, genetic engineering, new sequencing techniques
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working at the intersection of systems and computational neuroscience. We record, analyze, and model neural population activity in the visual cortex of mice, to understand the mechanisms underlying sensory
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inference tasks and general performance, processing and utilization. Monitors cluster performance, identifies bottlenecks, and implements performance enhancements. Adheres to best practice models to improve
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candidates should be highly motivated, have research skills with CRISPR functional genomics, disease animal models, flow cytometry or metabolomics analysis, and have effective communication skills as
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laboratory settings. Our lab, using this novel model system, seeks to pursue two complementary questions. First, how does the auditory system interact with the motor system to generate the sensorimotor loop
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: The ideal candidate should have significant experience in molecular biology and mouse models of cancer. Having publications in the fields of metabolism, immunology, stem cell biology, epigenetics or cancer