37 computer-science-programming-languages-"St"-"ST" Postdoctoral positions at Texas A&M AgriLife
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Soil & Crop Sciences Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff
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Life 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
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metabolites, biomarkers, and micronutrients derived from human, animal, and plant research. The Responsive Agriculture Program is closely connected to the Human Behavior Laboratory, a leading facility equipped
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faculty working on questions related to the ecology, evolution and conservation of biodiversity throughout the world, while the associated Interdisciplinary Program in Ecology and Evolutionary Biology links
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members to support ongoing research projects. Perform other related duties as needed to support the research program. Required Education: Ph.D. in Horticulture or a related field. Preferred Experience
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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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, linear or nonlinear programming for building ration formulation programs, and knowledge of particular programming languages. Ability to engage with a multidisciplinary team, NRCS personnel, and other
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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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and work cooperatively with others. Preferred Special Knowledge, Abilities and Skills: - Experience in programming languages such as Python, R, Stata, SAS, SPSS. - Strong command of large dataset
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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