33 proof-checking-postdoc-computer-science-logic Postdoctoral 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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largest most 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
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faculty working on questions related to the ecology, evolution and conservation of biodiversity throughout the world, while the associated Interdisciplinary Program in Ecology and Evolutionary Biology links
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microbial influences on fire ant behavior - Collect, analyze, and archive research data; establish and maintain databases; and utilize computational tools for data analysis - Perform experiments to evaluate
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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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Staff Job Description Required Education: Ph.D. degree in molecular biology, biochemistry, or a closely related field Preferred Experience: Experience with standard molecular biology, biochemistry, and
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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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breeding, mechanical engineering, and computer science fields, and is expected to work in a team and independently as needed. -Other job related duties as needed. Required Education and Experience: PhD in
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, animal science, environmental science, ecology, or related field Required Knowledge, Skills, and Abilities: Ability to conduct independent research as evidenced by peer-reviewed publications Excellent
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Staff Job Description Qualifications Required Education: Ph.D. in molecular biology field or relevant fields Preferred Experience: Extensive knowledge and application of new generation sequencing