82 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"U" positions at Texas A&M AgriLife
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Conservation Biology, or equivalent degree Preferred Education: Ph.D. in Ecology and Conservation Biology, Preferred Experience: Experience with R programming, statistical analysis of coastal datasets
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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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research program on food price forecasting and food e-commerce management. They will oversee the mentoring of graduate and undergraduate researchers and also contribute to grant and human research ethics
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interviews will be scheduled on a rolling basis. The position will remain open until filled. Lab Resources: The Motta research program is equipped with two BSL-2 laboratory environments to safely work with
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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 and a
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signs documents for supervisor. Attend meetings or committees on behalf of supervisor. -Analyzes program, project, or initiatives. Monitors project timelines and identify issues. Adapts, combines, and
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, familiarity with computer programs -Ability to stand for 8 hours Preferred Knowledge, Skills and Abilities: - Strong mechanical aptitude and the ability to learn maintenance on the machine - Ability
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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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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 work cooperatively with others. Preferred Special Knowledge, Abilities and Skills: - Experience in programming languages such as Python, R, Stata, SAS, SPSS. - Strong command of large dataset