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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 crop modeling, remote sensing, and geospatial
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technologies, digital soil mapping/pedometrics, proximal/remote sensing, and geospatial modeling. The ideal candidate will work and collaborate closely within a research team at Texas A&M AgriLife and USDA-ARS
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emissions modeling for a local concentrated animal feeding operation (CAFO), and prepare results for publication. Collaborate with USDA‑ARS workgroup contributing to enhancements of the USEPA CMAQ/STAGE model
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. Current research areas include mosquito-arbovirus interactions, sexual transmission of arboviruses, neuropathogenesis of viral strains using human organoid models, antiviral immune responses independent
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, voucher collection, plant identification, spectral reflectance, trait modeling, biodiversity informatics, and/or grant writing. Ability to obtain a valid driver license preferred if fieldwork travel is
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skills. Ability to work both independently and as a member of a multidisciplinary team. Ability to communicate effectively with a variety of audiences. Knowledge of advanced statistical models/tools
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, transcriptomics, metabolomics, phenomics, microbiome) for predictive modeling and biological interpretation. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data
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of the following: preclinical mouse models, physiology, biochemistry or epidemiology. Required Special Knowledge, Skills, and Abilities: Presentation and analytical skills. Ability to work independently. Excellent
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Project: Enhancing APEX for simulating environmental and economic impacts of CAFO operations using the APEX model, funded by USDA-NRCS. Texas A&M AgriLife Research is seeking a highly motivated and
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on insect genetics, Drosophila melanogaster, gene drive systems, CRISPR/Cas9 genome editing, DNA repair mechanisms, or transgenic model organisms. Advanced training in one or more of the following areas is