6 condition-monitoring-machine-learning Postdoctoral positions at Texas A&M University System in United States
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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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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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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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: Demonstrated publication record. Good computer and communication skills. Ability to multi-task and work cooperatively with others. All positions are security-sensitive. Applicants are subject to a criminal
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communication, computer, and presentation skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Strong publication record in relevant scientific journals
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current projects in 7 different species. The candidate will learn analytical techniques, including high-resolution re spirometry, multiplex assays using MesoScale Discovery, cryosectioning and