6 machine-learning-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Postdoctoral positions at Texas A&M University System
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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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: 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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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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ecology techniques, biological control of insects, and/or field research. Required knowledge, skills and abilities: Good communication and computer skills. Ability to multi task and work cooperatively with
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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
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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