123 parallel-computing-numerical-methods-"Simons-Foundation" positions at Texas A&M AgriLife
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programs. Recommend program guidelines, procedures, policies, rules and regulations. -Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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. Preferred qualifications Training in econometrics and quantitative methods in agriculture/food systems. Proficiency in R and/or Python (data wrangling, modeling, visualization). Familiarity with survey design
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research projects -Evaluate, select, and apply standard techniques of routine research; keep detailed records of data and methods -Use computers and laboratory or technical equipment to perform data analysis
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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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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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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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arthropod ectoparasites and vectors of disease pathogens of humans, livestock, companion animals and wildlife. Utilize quantitative methods to construct and analyze systems, identify component interactions
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defines stakeholders through the Texas A&M Natural Resources Institute (NRI) Natural Resources Conservation & Policy Program (NRCP) in support of the Department of Defense. - Develop natural resource
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analyses which, although they follow standard procedures and tests, may require the exercise of some ingenuity and improvisation -Uses computer equipment for controlling equipment and compiling data. -Makes
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/people/wang-jun/ ), this project will employ advanced research methods to explore how social media experiences and mental health evolve and influence each other across daily to yearly time frames