47 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "Newcastle University" research jobs at Texas A&M AgriLife

  • Texas A&M AgriLife | Uvalde, Texas | United States | 3 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 | College Station, Texas | United States | about 15 hours ago

    analysis with high resolution mass. Required skills, knowledge or abilities: -Good communication and computer skills -Ability to multi task and work cooperatively with others Preferred skills, knowledge

  • Texas A&M AgriLife | College Station, Texas | United States | 3 months ago

    : Excellent verbal and written communication skills; ability to effectively use personal computer to communicate, prepare proposals to include cost information on spread sheets as applicable and provide reports

  • Texas A&M AgriLife | Overton, Texas | United States | about 14 hours ago

    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 a

  • Texas A&M AgriLife | College Station, Texas | United States | 19 days ago

    , 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

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

    , computational biologists, and industry partners. The postdoc will also have opportunities for professional development, grant writing, and mentorship experience to support an independent career path. All

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