36 software-verification-computer-science-"TCAT-Jacksboro" Postdoctoral positions at Texas A&M AgriLife
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to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks, such as Microsoft Office. Preferred Special Knowledge
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Horticultural Sciences Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Horticultural Sciences Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff
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, computer science, or ecology with a quantitative, and empirical orientation. Required knowledge, skills and abilities: Ability to multi task and work cooperatively with others Good communication and computer skills
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Ecology & Conservation Biology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job
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, specializing in manure and mortality management. Preferred Education and Experience: ●Master’s degree in Computer Science, Data Science, or a closely related field. ● Hands-on experience with laboratory analysis
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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 Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Horticultural Sciences Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff
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/Essential Duties of the Job Collect and aggregate monthly grazing management data from various software platforms or personalized spreadsheets into one database Review grazing management records
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knowledge, abilities, and skills: Excellent communication skills; knowledge of program R, ArcGIS, spatial analysis, common statistical approaches to wildlife data, ability to operate under adverse field