62 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" positions at Texas A&M AgriLife
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, estimating, and project controls. -Coordinates with vendors and others in the delivery and support for systems and services. -Coordinates multiple work streams to ensure cross-project dependencies and impacts
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Job Title Program Aide Agency Texas A&M Agrilife Research Department AgriLife Research Center for Managed Technology Services (ARCMTS) Proposed Minimum Salary $21.00 hourly Job Location College
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Food Science & Technology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type
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Job Title Research Nurse Coordinator Agency Texas A&M Agrilife Research Department Food Science & Technology Proposed Minimum Salary $40.00 hourly Job Location College Station, Texas Job Type Staff
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, interprets, compiles, and responds to inquiries about rules, regulations, policies, and procedures. May monitor compliance with policies and procedures. -Interact with multiple individuals and track financial
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the country’s largest public universities, with extensive resources to support research and multiple seminar series that attract scholars from across the world. The ECCB Department at Texas A&M includes a vibrant
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Job Title Business Coordinator I Agency Texas A&M Agrilife Research Department AgriLife Research Center for Managed Technology Services (ARCMTS) Proposed Minimum Salary Commensurate Job Location
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and monitor budgets and operating plans to support mission of the facility and department in coordination with Livestock Operations manager and McGregor manager. -Construction and maintenance of fences
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activities performed are compliant with the rules and regulations set forth by the TAMU system, state, and federal regulations. Works collaboratively with multiple departments across the TAMU system to ensure
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat