37 phd-computational-linguistic Postdoctoral research jobs at Texas A&M AgriLife

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  • Texas A&M AgriLife | College Station, Texas | United States | about 1 month ago

    largest most 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

  • Texas A&M AgriLife | Temple, Texas | United States | about 1 month ago

    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

  • Texas A&M AgriLife | College Station, Texas | United States | about 6 hours ago

    communication, computer, and presentation skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Strong publication record in relevant scientific journals

  • Texas A&M AgriLife | Dallas, Texas | United States | about 2 months ago

    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

  • Texas A&M AgriLife | Stephenville, Texas | United States | about 6 hours ago

    and 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

  • Texas A&M AgriLife | College Station, Texas | United States | 2 months ago

    : Expertise in interpreting LC-MS, GC-MS, Raman spectroscopy, and NMR data. Experience in metabolic profiling and quantification of bioactive compounds in plants. Familiarity with computational modeling

  • Texas A&M AgriLife | College Station, Texas | United States | 2 months ago

    . 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

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