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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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• Financial Oversight: Managing budgets, driving revenue growth, and ensuring continued financial success • Innovation: Leading the assessment and appropriate implementation of new publishing models and
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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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, 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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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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outcome. The team uses a genetically engineered model of metastatic prostate cancer in a native, immune competent environment (see PMIDs: 24444712, 25829425 and 31092557). Recently, they developed whole