12 evolution-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Texas A&M AgriLife
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separation, polymer dosing trials, and lagoon monitoring activities. Operate manure pumps, samplers, sensors, and related field equipment. ●10%: Extension and Outreach Support - Contribute to the development
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of avian ecology, evolution, and conservation across space and time. The Animal Functional Ecology and Conservation Lab seeks to identify the functional mechanisms underlying the ecology and evolution
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analysis and method development of bioactive compounds. Investigate changes in bioactive compounds during postharvest handling processes. Collaborate with industry partners and collect samples from various
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Postdoctoral Research Associate-Assistant Agriculture Data Center Specialist to support the operation, development, and strategic growth of a state-of-the-art agricultural data center dedicated to advancing data
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initiatives related to biodiversity and conservation science. Support collaborative grant proposal development and reporting. Other duties as required. Required Education and Experience: Ph.D. in Ecology
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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the model development process and publish findings in peer-reviewed journals. Performs other duties assigned. Required Education and Experience: Ph.D. in Agricultural Engineering, Civil and Environmental
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. Responsibilities: Aid in the development and application of large scale modeling frameworks for water and crop management. Prepare and process large datasets for use in national model assessments conducted with SWAT
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CONUS EPIC model into the current version of EPIC. Support the tool development (e.g., programs, macros, SQL queries) to systematically upgrade the geospatial and tools in the CONUS EPIC integrated with
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used in data analysis Frequent communication both via phone and email with landowners to effectively manage data quality Manage the development and maintenance of large project level databases Summarize