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Job Description Job Responsibilities: Plan and conduct research independently. Work collaboratively and effectively to promote teamwork. Organize and manage projects Supervise and mentor research
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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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Description The Postdoctoral Research Associate is responsible for designing, conducting, and summarizing research projects associated with dairy cattle heat stress experiments and develop associated computer
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. Requiree knowledge, skills and abilities: Good communication and computer skills. Ability to multi task and work cooperatively with others. Preferred knowledge, skills and abilities: -Ability to work
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conservation organizations. Required special knowledge, abilities, and skills: Good communication and computer skills. Ability to multi task and work cooperatively with others. Preferred special knowledge
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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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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 Rangeland, Wildlife & Fisheries Management Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description Description The Texas A&M Center for Grazinglands and Ranch...
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: 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
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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