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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative
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analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
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Associate Director will combine large quantities of data to perform trend analysis, predictive analytics, and data mining to provide actionable insights that inform strategic and tactical decisions and lead