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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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. doi: 10.3389/fcell.2022.986261. Position Requirements Candidates must have (or soon receive) a PhD degree. Experience in mouse embryonic stem cell culturing and differentiation, genomic analysis
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effective therapeutic options. Position Requirements Education: PhD in Molecular Hematology, Molecular Biology, Cancer Research, or Cell Biology. Research experiences: Ideal candidates should have strong
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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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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