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Bayesian statistics, stochastic modeling, and optimization under uncertainty • Proficiency in Python programming • Strong interest in applied and transferable research • Knowledge of industrial simulation
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modeling tools and solvers (e.g., Pyomo, Gurobi, CPLEX). Knowledge of uncertainty modeling, robust or stochastic optimization is a strong asset. Practical Experience Experience applying optimization methods
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