37 data-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions at Texas A&M AgriLife
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Job Title Postdoctoral Research Associate - Assistant Agriculture Data Center Specialist Agency Texas A&M Agrilife Research Department Corpus Christi Proposed Minimum Salary Commensurate Job
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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soil and crop interaction. -Conduct lab experiment, analyze data, writing research papers, and presenting results at professional meetings. -Assist with the preparation and cleaning of worksite. -Other
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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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make a difference in the world! Position Information The Postdoctoral Research Associate will support research in the Vegetable Breeding Program at Uvalde, which is focused on studying genomics, tissue
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Job Description Job Responsibilities: Carry out research in controlled environment horticulture, including planning and running experiments. Collect, organize, and analyze data. Write and contribute
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international research team to synthesize data and develop comparative models. Mentor and support graduate students conducting related research on fossil assemblages and ecological modeling. Participate in grant
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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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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