48 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" research jobs at Texas A&M AgriLife
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, 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
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Staff Job Description Job Responsibilities 50%: Lab research - Design, plan, conduct and coordinate experiments in a wet lab as well as using computers. 20%: Communication - Keep detailed records of data
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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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Research Institute Program and will focus on grapevine and pecan, two of the most economically important crops in Texas. Job Responsibilities: 30% Lead greenhouse experiments on nanoplastics and PFAS uptake
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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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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 brings
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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
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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
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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