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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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Saccharomyces yeast species. Available projects make use of quantitative genetics, CRISPR genome editing, single cell techniques in flow cytometry and RNA-seq, ancestral protein reconstruction, and deep
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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