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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
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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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how you can be a part of AgriLife and make a difference in the world! Position Information Responsibilities: -Develop ecohydrological modeling for plant water stress and irrigation optimization. -Study
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-validation by droplet digital and real-time PCR. Contribute to the host–microbiome analyses (GWAS/mGWAS, metagenomics) and the integrative modeling led by the graduate student. Apply machine-learning and AI
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other computer related tasks, such as Microsoft Office. Preferred Special Knowledge, Skills and Abilities: -ImageJ and Matlab. -Expertise in biosensors or protein design. -Familiarity with genetic model
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for compound identification and metabolic profiling. • Familiarity with statistical modeling and computational approaches for bioactive compound analysis. • Plant microbiome interactions; host-associated and
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models/tools. Experience with large, varied datasets. Experience working with soil, water, and plant sensors and remote sensing technology. Other Requirements: This position requires physical activities
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models and human nutrition approaches. The selected postdoctoral fellow will investigate the health impacts of novel, biofortified foods such as anthocyanin-enriched staples and vegetables on metabolic
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efforts, identify resource needs, assess work quality, and troubleshoot issues accordingly • Monitor and report progress as appropriate • Develop workflows and models to standardize and improve