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stimulating environment that engages the best and brightest faculty and students to conduct deep and impactful research. Our faculty's research expertise and strengths cover several key interdisciplinary areas
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molecular dynamics and path integral simulation methods, machine learning techniques, and electronic structure techniques. Additional background in statistical mechanics and deep eutectic solvents is highly
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Computer Science, Data Science, Environmental Engineering, or a related field. Experience in deep learning, predictive modeling, and AI-driven decision-support tools. Strong programming skills in Python, TensorFlow
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