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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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environmental samples such as water, soil, and air filters, taking each assay from design through validation and into the laboratory's three-tier detection workflow of qPCR, digital PCR, and nanopore sequencing
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to advance research and outreach objectives. Proficiency in the use of artificial intelligence (AI) and emerging digital tools to support research output while maintaining accuracy, ethics, and research
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Publications and Digital Scientific Research Data) and ARS P&P 630 (Data Management & Public Access Requirements). Collaboration & Reporting Under general supervision by the Professor and Center Director of
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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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behavioral sciences. Experience with digital communication and educational resources, including virtual workshop series, podcast content, and public science communication. Collaborated on content strategy and