117 web-programmer-developer-"https:"-"University-of-St"-"UCL" positions at Texas A&M AgriLife
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Managers to coordinate and support efforts related to our portfolio of community-engaged research studies and projects. Support the development and implementation of local, state, and national health
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samples. Develop and conduct research projects related to a systems-wide approach to increase consumption of vegetables, fruits, and ‘foods for health’. Work on research teams and collaborate with other
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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the Texas Commercial Feed and Fertilizer Control Acts. Examine and review product labeling and documentation. Prepare, complete and submit technical communications such as inspection and investigation
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Job Type Staff Job Description Job Responsibilities ●30%: Laboratory Analysis and Treatment Evaluation - Conduct laboratory analyses of manure, lagoon wastewater, and treatment samples etc. Prepare and
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comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees
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Type Staff Job Description The Project Coordinator II, under supervision, will provide technical expertise and management support for Fort Irwin's cultural resource management program. Responsibilities
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of funding sources (state, federal, private, etc.). Responsibilities: -Plan, coordinate, and execute field surveys as well as compile, analyze, and summarize results into scientific and clientele
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protocols To provide timely and high quality cleaning of glassware and laboratory lab coats Receive, log into data management system and prepare feed and fertilizer samples To maintain accurate and complete
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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