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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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Modeling Committees and contribute to projects such as COMET and RuFAS. (3) Assist in predicting the adequacy of diets to meet nutrient requirements using species models. (4) Engage with stakeholders
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