135 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Texas A&M AgriLife
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Description Responsibilities: Develop and manage research projects related to dairy health and management. Collect, organize, and analyze data from dairy herds using advanced statistical and computational tools
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Job Description Key Responsibilities: Plan, prepare for, and perform water sample collection, streamflow measurements and field data collections Conduct data and equipment management and maintenance
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positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required
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part of AgriLife and make a difference in the world! Position Information The following list provides examples of the most typical duties for this level position. Individual positions may not include all
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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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techniques of molecular biology and biochemistry and keeps detailed records of data. -Maintains cell cultures. -Uses computers and laboratory equipment to perform data analysis, statistical analysis, technical
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the laboratory, maintain and organize samples and data in a timely manner, and other tasks depending on a project's schedule and need. -Responsible for the maintenance, adherence to, and implementation of lab
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make a difference in the world! Position Information Under general supervision, the Research Associate (RA) will provide technical support for breeding and research work to the professional staff. The RA
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make a difference in the world! Position Information This position provides leadership to the modeling and analysis of historical data on groundwater extraction and agricultural irrigation in
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Description 50%: Research and Data Analysis - Designs, conducts, and leads research projects focused on climate-smart agricultural practices integrating remote sensing, soil and crop modeling, and greenhouse