98 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" 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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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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various watershed-based planning programs statewide. Primary responsibilities include providing supervision, leadership, mentoring, and guidance to TWRI staff in the development of watershed-based plans and
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Responsibilities: -Lead arthropod rearing program (i.e., stable flies, blow flies, mealworms, etc.), which currently includes leading a team of undergraduate research assistants by providing support in maintaining
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the established budget and timeline. Responsibilities: - Support the Camp Bullis Sentinel Landscape (CBSL) Natural Resource Conservation Service (NRCS) Regional Conservation Partnership Program (RCPP) that involves
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trial building preparation and cleanup, and schedules bird transport. Supervises student workers and provides assistance to faculty and staff for research, teaching, and extension programs at the poultry
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equipment used in the program. •Execute pest, disease, and weed control and fertility program in the greenhouse, nursery, beds, and field plots. (requires a Pesticide applicator's License) •Propagate and grow
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College of Agriculture 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
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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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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