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, crop yield). -Familiarity with geospatial data and tools (e.g., GIS, QGIS, Google Earth Engine). -Knowledge of explainable AI (e.g., SHAP, LIME), model interpretation, and/or uncertainty quantification
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, and performance review. Technical supervision on evapotranspiration modeling and crop water demand will be provided by the Senior Research Engineer (AgriLife) and the Agricultural Engineer (USDA-ARS
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. Responsibilities: Implement AI approaches for crop sensing, growth analysis, and stress monitoring, with a strong focus on modeling and interpreting plant-environment interactions for intelligent climate control
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ecosystem modeling; downloading and processing projected future climate data; designing field experiments; procuring necessary field and laboratory equipment and supplies; conducting experiments; and
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secondary metabolites. Experience in grant writing and conducting hypothesis-driven research. Communicate effectively with collaborators, industry partners, and stakeholders. Required Education: Doctoral
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, project scheduling, and performance review. Technical supervision on air quality engineering and bioaerosol sciences will be provided by the Professor and Center Director (Amarillo, TX) and Associate
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nexus, animal health, and environmental quality in relation to industry needs and state and federal policy. -Assist in enhancing synergy of statewide programs through research and technology transfer
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organization, or summit coordination. Experience with modeling tools. Familiarity with poultry feed formulation software for research applications. Proficiency in laboratory techniques and use of analytical
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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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of drylands Knowledge of and experience with hydrological modeling, Knowledge of and experience using remote sensing. Knowledge of and experience in planning and executing field studies related to dryland