132 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Texas A&M AgriLife
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AgriLife and make a difference in the world! Position Information: The successful candidate will contribute to developing and evaluating terrestrial and aquatic nitrogen dynamics and emission modeling, with
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, testing, data entry, and monitoring of research project subjects. Provides nursing care to research subjects enrolled in studies. Responsibilities: -Manages subjects involved in research projects and blood
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Staff Job Description Qualifications Required Education: PhD in Biochemistry or related field Preferred Experience: Mass spectrometry data acquisition and analysis NMR data acquisition and analysis
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up experiments • Collect and analyze soil, water, mineral, and wastewater samples • Use analytical equipment or work with data from analytical equipment (e.g., ICP-OES or ICP-MS, XRD, FTIR, EA, EA-IRMS, etc
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multiple statewide projects simultaneously. Strong interpersonal and relationship-building skills across various stakeholder groups. Ability to collect and interpret data for program evaluation and reporting
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AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research at Corpus Christi, is seeking a highly motivated Business Coordinator II, who under general supervision, provides
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make a difference in the world! Position Information Texas A&M AgriLife Research, located in Temple, Texas, is seeking a Postdoctoral Research Associate. We are looking for an innovative and highly
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AgriLife and make a difference in the world! Position Information Responsibilities: Assists Controller with annual budget process. Monitors funding for various RFP’s put out by Director’s office, ensuring
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AgriLife and make a difference in the world! Position Information Responsibilities: Preparation and timely submission of the Schedule of Expenditures of Federal Awards (SEFA), State Pass Through Report (SPTR
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knowledge, abilities, and skills: Excellent communication skills; knowledge of program R, ArcGIS, spatial analysis, common statistical approaches to wildlife data, ability to operate under adverse field