11 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" research jobs at Texas A&M AgriLife
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Description The Postdoctoral Research Associate will examine the epigenetic regulation of the paternal genome and subsequent role in embryo development in the Luense Lab (https://animalscience.tamu.edu/people
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. Professional demeanor. Ability to multi-task and establish effective working relationships. Additional information about Texas A&M AgriLife Research is available at: Texas A&M AgriLife Research: https
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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(http://agriliferesearch.tamu.edu ) is the state’s premier research agency in agriculture, natural resources, and life sciences. A member of the Texas A&M University System, Texas A&M AgriLife Research
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how you can be a part of AgriLife and make a difference in the world! Position Information Job Responsibilities 95%: Conduct research in structural biology 5%: Performs other duties as assigned
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repair and construction Keep cattle facilities clean and in good repair Selects and applies standard techniques of routine research and keeps detailed records of data. Assists undergraduate and/or graduate
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structure, and modeling approaches. Deliver all modeling outputs on time. Model Advancement: Provide critical feedback, improvements, or recommendations for model advancement based on the intercomparison
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crop improvement. The successful candidate will work on chromosome-scale genome assembly, gene annotation, structural variation discovery and development of genomics tools to accelerate breeding across
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: -Ph.D. in biological, chemical, or physical sciences Preferred Experience: -Experience in a molecular biology, biochemistry, or structural biology lab Required Special Knowledge, Skills, and Abilities
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat