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Job Title Postdoctoral Research Associate - Climate-Smart Feed Management and Nutrient Modeling Agency Texas A&M Agrilife Research Department Animal Science Proposed Minimum Salary Commensurate Job
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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quality and interoperability, and support collaborative research that improves agricultural productivity, sustainability, and innovation. Responsibilities: -Support development of a web-based open data
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Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines
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. The position will involve designing and analyzing experiments, modeling producer and consumer behavior, and integrating experimental and observational approaches to generate robust evidence. The postdoc will
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models and human nutrition approaches. The selected postdoctoral fellow will investigate the health impacts of novel, biofortified foods such as anthocyanin-enriched staples and vegetables on metabolic
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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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, Skills and Abilities: -ImageJ and Matlab. -Expertise in biosensors or protein design -Familiarity with genetic model organisms, microscopy, and other appropriate laboratory and/or technical equipment
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complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop predictive models