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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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at the Texas A&M AgriLife Institute for Advancing Health Through Agriculture (IHA) based on the Texas A&M University campus in College Station, TX. The incumbent postdoc will work with USDA-ARS scientists
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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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, integration, and analysis of large, diverse datasets obtained from Unmanned Aerial System (UAS), Satellite imagery, ground sensors, and field measurements. -The candidate will work on Texas Climate Smart
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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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design, prototyping, testing, and refinement of robotic systems and automation solutions, including sensor integration and feedback control. Collaborate with a multidisciplinary team to design and execute
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of positive for onion thrips DNA) for their efficacy in suppressing the onion thrips population on onion in greenhouse and high tunnel settings. The postdoc will conduct the experiment in the state
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faculty in biological disciplines across the university and provides ample opportunities for networking and collaboration. The successful candidate will be expected to work on campus in person
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plant physiology under controlled environments Experience using data loggers and environmental sensors for automated data acquisition, as well as conducting leaf gas exchange and chlorophyll fluorescence
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools