22 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Texas A&M AgriLife
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AgriLife and make a difference in the world! Position Information: The successful candidate will contribute to developing and evaluating terrestrial and aquatic nitrogen dynamics and emission modeling, with
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functions, soil carbon and nitrogen dynamics, soil health, ecosystem services, and climate resiliency of crop and grassland systems, ii) Assess the effects of changes in climate, land use, and management
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and investigating the physiological and molecular mechanisms of herbicide tolerance in the AgriLife Research and Extension Center in Beaumont. Responsibilities also include data analysis, manuscript
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Type Staff Job Description Major/Essential Duties of Job: Conduct ecohydrological field studies to determine soil infiltrability, soil water dynamics, tree transpiration. Designing and implementing meta
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environmental engineering science, chemical engineering, biological engineering, agricultural engineering, microbiology, biochemistry, and molecular biology. Experience with water treatment, biofuel and
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task and work cooperatively with others Preferred Abilities, Knowledge or Skills: Strong foundation in irrigation with an understanding of soil-water-plant-atmosphere dynamics. Experience with AI/ML
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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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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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statistical and geospatial software (R, ArcGIS, QGIS) and atmospheric dispersion modeling (AERMOD, WindTrax, CALPUFF) is strongly preferred. Ability to multi-task and work cooperatively with others. Why Work
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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