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to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
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microRNA signaling in fetal growth restriction, and (2) pioneering in utero gene editing approaches to correct genetic disease before birth. Current projects include the development of CRISPR-Cas9–based base
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with laddering techniques, qualitative coding, or mixed methods research for understanding user needs and refining AI-human interaction. Understanding of design, design thinking, user/human-centered
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analysis of large data sets Prior experience in signal transduction research Knowledge, Skills and Abilities: PhD level knowledge and understanding of basic cellular and molecular biology Expertise in cell
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and sophisticated research techniques examining inflammation-related signaling by intestinal epithelial cells, with a focus on innate immune cell–host epithelial cell cross talk and the inflammatory