53 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Texas A&M AgriLife
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University and the Georgia Institute of Technology. Occasional Duties: Assist in organizing workshops, meetings, and collaborative research activities. Contribute to public outreach and data-sharing
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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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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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Chemistry, Environmental Engineering or closely related field. Preferred Experience: *Two (2) years of related professional experience. •Experience in soil science, soil/environmental microbiology, soil
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. -Supervise part-time student labor to accomplish the research project. -Assist with and contribute to various program managerial activities. -Perform other job related duties as required. Required Education
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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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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