36 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "J" Postdoctoral positions at Texas A&M AgriLife
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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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, 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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physiological experiments to elucidate factors critical for nutrient transport and successful feeding. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and
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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
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Description Responsibilities: Develop and manage research projects related to dairy health and management. Collect, organize, and analyze data from dairy herds using advanced statistical and computational tools
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microbial influences on fire ant behavior - Collect, analyze, and archive research data; establish and maintain databases; and utilize computational tools for data analysis - Perform experiments to evaluate
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Bacterial genetics for multiple species of organism Required Special Knowledge, Skills, and Abilities: Good communication and computer skills. Open approach to defining a problem and designing a strategy for
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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
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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