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verbal communication skills -Ability to multitask and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Knowledge of statistical programs (R, JMP, SAS, etc.) -Knowledge and skills
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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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candidates with specializations in any of the following areas: Biostatistics (using R-Studio), Cellular & Molecular Biology, Organismal Biology, and/or Biology (STEM) Education. Specifically, we seek
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, C/C++, GOAL, OGR, Pandas/GeoPandas, R/R-spatial, MATLAB, FORTRAN, and NetworkX. Proficient with both QGIS and ArcGIS for cartographic production and tool development. Familiarity with legacy
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greenhouse gas emissions (CO₂ and CH₄ dynamics). Proficiency in data analysis and geostatistics using programming languages and tools such as Python, R, Fortran, or similar software. Experience managing
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start date is September 1, 2025. Questions: Address inquiries to Search Committee Chair: Dr. Gerald R. Smith, Texas A&M AgriLife Research and Extension Center at Overton, gerald.smith@ag.tamu.edu , 903
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EDUCATION/EXPERIENCE: Minimum qualifications include a masters or doctorate degree in Curriculum & Instruction or Education with a minimum of 18 graduate hours in Curriculum and Instruction o r a field in