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on investigating protein anabolic resistance following premature birth, using a preterm piglet model. Responsibilities: In consultation with the PI, designs and executes experiments. Performs statistical analysis
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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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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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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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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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in transcriptomics, and basic molecular techniques such as DNA/RNA isolation, PCR and qPCR and statistical analysis using R or python based packages would be preferred. The position is available
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: Expertise in interpreting LC-MS, GC-MS, Raman spectroscopy, and NMR data. Experience in metabolic profiling and quantification of bioactive compounds in plants. Familiarity with computational modeling
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advanced analytical techniques for material characterization. High-quality research ability as evidenced by a strong publication record. Knowledge of sustainable food production and plant-based food trends
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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