33 engineering-computation-"https:"-"https:"-"https:"-"https:" 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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knowledge, abilities, and skills: Excellent communication skills; knowledge of program R, ArcGIS, spatial analysis, common statistical approaches to wildlife data, ability to operate under adverse field
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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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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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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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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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. 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