131 data-"https:"-"https:"-"https:"-"https:"-"Inserm" positions at Texas A&M AgriLife
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Job Description About the role We’re seeking a highly organized, quantitatively strong part-time professional to lead project management, data collection, and data analysis across research and outreach
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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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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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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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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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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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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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protocols To provide timely and high quality cleaning of glassware and laboratory lab coats Receive, log into data management system and prepare feed and fertilizer samples To maintain accurate and complete
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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