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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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: -PhD in relevant field (weed science, agronomy, ecology, plant science, etc.) Continued employment in this position is contingent upon availability of funds. Please attach the following to completed
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records of results, as well as utilizing computer programs and databases to conduct analyses. -Perform experiments needed to evaluate the nutritional status of various engineered microbes for gene edited
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