43 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS" Postdoctoral positions at Texas A&M AgriLife
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AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center ( https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the
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supervision of Dr. Kiran Gadhave in the Gadhave Laboratory (https://tx.ag/gadhavelab) at Crop Stress Lab (Texas A&M AgriLife Research), Bushland, TX. Responsibilities: Independently lead research projects
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components of the corn breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep
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modeling, participatory numerical modeling, remote sensing applications, and the development of data-driven decision-support tools. The successful candidate will work on a NASA-funded Transboundary
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with laboratory safety, biosafety, and institutional policies. -Organize, analyze, interpret, and maintain research data using appropriate statistical and computational methods. -Prepare figures
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chemical engineers, veterinarians, microbial ecologists, and entomologists to execute and complete a five-objective project within two years. - Managing data pipelines, ensuring data integrity, and
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and containment protocols. Data Analysis, Documentation, and Reporting - Maintain accurate experimental records, analyze quantitative genetic and molecular data, prepare figures and summaries, and
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. Tracy Herbarium collections and targeted field collections. Generate, manage, analyze, and synthesize genomic, phenomic/spectral, trait, spatial, environmental, and taxonomic data. Conduct
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-Doctoral Researcher to support applied research projects focused on grazing management and soil health. This position will lead the analysis and interpretation of soil data already collected across
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market opportunities for all major Texas agricultural commodities. Position duties focus on research activities including participant recruitment, data management, data analysis, and scientific writing