37 data-"https:" "https:" "https:" "https:" "AALTO UNIVERSITY" Postdoctoral research jobs 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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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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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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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
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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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Staff Job Description Job Responsibilities 50%: Lab research - Design, plan, conduct and coordinate experiments in a wet lab as well as using computers. 20%: Communication - Keep detailed records of data
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microbial influences on fire ant behavior - Collect, analyze, and archive research data; establish and maintain databases; and utilize computational tools for data analysis - Perform experiments to evaluate
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management and soil health. This position will be responsible for grazing management data entry, data analysis, database management, developing progress reports for sponsor and publication. This position will
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in areas of crop modeling, remote sensing, geospatial
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, specializing in manure and mortality management. Preferred Education and Experience: ●Master’s degree in Computer Science, Data Science, or a closely related field. ● Hands-on experience with laboratory analysis