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, QA/QC, harmonization, storage, and processing workflows across heterogeneous binational datasets for the TMDH framework. Support to develop APIs, dashboards, and decision-support tools (e.g., web-based
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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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investigate the impact of biotic and environmental factors on the reproductive and overall health of honey bees (Apis mellifera), with a focus on uncovering the molecular mechanisms underlying
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methodology for characterizing and prioritizing private working lands based on flood mitigation potential and land‑conversion risk. Support creation of a Texas Coastal Prairie value–risk prioritization map
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communication skills. Ability to multitask and work cooperatively with others. Preferred Knowledge, Skills, and Abilities: Experience with genotyping platforms, genotype calling, linkage mapping, and QTL analysis
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, abilities, and skills: Working knowledge of MS Office Suite; excellent written and oral information delivery skills. Proficiency in GIS mapping and assessment; statistical assessment of environmental data