-
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
-
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
-
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
Searches related to genetic algorithm
Enter an email to receive alerts for genetic-algorithm positions