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the areas of atmospheric chemistry. As a Postdoctoral Research Associate, you will be responsible for conducting designated research projects, writing manuscripts, developing research proposals, and helping
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independently Ability to communicate clearly Ability to manage time effectively Ability to travel to and work in tropical countries Working knowledge of epidemiologic study design & conduct Working knowledge
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and region of neural injury. Cellular assays/histology: Assist in the design, planning, and coordinating of research that examines factors that influence tissue loss after neural injury. Perform western
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protocol design records and description. Group meeting discussion. 5%: Performs other duties as assigned. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and
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The Postdoctoral Research Associate, under general supervision, will work in the Texas A&M Energy Institute on research and development related to the design, optimization under uncertainty, techno-economic analysis
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programs in three distinct, but related disciplines: Landscape Architecture: The planning, design, management, and nurturing of the built and natural environments coupling advanced and traditional digital
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, Texas Job Type Staff Job Description TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from
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, and coordinating experiments to support research projects, particularly focusing on exploring the cellular and molecular mechanisms of CDK8 in regulating lipid metabolism. This includes designing
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Responsibilities: Research Duties Performs experiments related to bacterial pathogenesis and immunology. Assists in the design, plan, coordinate, and execution of experiments using standard techniques of routine
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populations genetics Experienced in conducting field work Experience designing and conducting behavioral experiments Required Knowledge, Skills, and Abilities: Ability to organize and analyze large data sets