38 computer-science-programming-languages-"CNPEM" Postdoctoral positions at Texas A&M AgriLife
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Job Description Job Responsibilities: -Coordinate genomic prediction research in the Texas A&M AgriLife Research Sorghum Improvement Program. -Build and manage a database amenable to both genomic and
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Research Institute Program and will focus on grapevine and pecan, two of the most economically important crops in Texas. Job Responsibilities: 30% Lead greenhouse experiments on nanoplastics and PFAS uptake
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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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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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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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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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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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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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. Experience with trait-based ecology, ecometric or functional-trait modeling, or macroecological analyses. Experience with R, Python, or equivalent programming languages for statistical and spatial analyses