4 machine-learning-phd Postdoctoral positions at Texas A&M University System in United States
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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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physiological experiments to elucidate factors critical for nutrient transport and successful feeding. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and
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documentation of research. Good computer and communication skills. Ability to multi-task and work cooperatively with others. **Position is contingent on funding availability** Job Responsibilities: Laboratory
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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