29 condition-monitoring-machine-learning Postdoctoral positions at Texas A&M AgriLife
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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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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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of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and
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deployment. Experience with reinforcement learning (RL), computer vision, and sim-to-real transfer. Experience with robotic hardware platforms such as mobile robots, robotic arms, and embedded sensors
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procedures. Coordinate and manage tasks and timelines associated with research. Write and review manuscripts, abstracts, and reports related to research projects. Develop computer vision technology to monitor
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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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ecological momentary assessment, smartphone-based tracking, or screenshot capture methods. - Experience applying machine learning techniques to a variety of data types such as with time-series data or image
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AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of AgriLife and
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Staff Job Description Required Education: Ph.D. in Biochemistry Preferred Experience: Prior experience with AlphaFold and other machine learning approaches are required. Required skills, knowledge
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Use soil and canopy sensors to monitor soil, water and nutrient status, plant growth, flowering, yield and microclimate modifications Maintain and calibrate laboratory and environmental stress field