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applications, particularly in conjunction with process-based models and remote sensing for agricultural systems. A team-oriented individual who can collaborate effectively and contribute to the success
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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. Familiarity with digital twin modeling, sensor fusion, and physics-based simulations. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s
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AgriLife and make a difference in the world! Position Information This position provides leadership to the modeling and analysis of historical data on groundwater extraction and agricultural irrigation in
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Description Job Description and Responsibilities: This is a full-time, 12-month position with the possibility of extension based on performance and funding. The position is housed within the Department
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collecting and analyzing research data, including imagery from unpiloted aerial systems (UAS). Prepare research manuscripts for publication based on modeling and fieldwork results. Assist in the development
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Qualifications: Proficient understanding of agroecosystems, watershed hydrology, soil-plant-water relations, and aquatic carbon dynamics. Solid experience with process-based models, including APEX/SWAT
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Assist grant proposal writing Supervise undergraduate students and other lab personnel Performs other duties as assigned. Required Qualifications: Appropriate PhD in horticulture, or closely related
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members on clay-related characterization (XRD, FTIR, SEM, TGA, and TEM). -Help with lab management: reporting, ordering, maintenance. Required Education -PhD in clay science or similar disciplines Preferred
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Education and Experience: PhD in Animal Science or related field Required Knowledge, Skills and Abilities: Good organizational skills Ability to work independently Ability to multi task and work cooperatively