7 spatial Postdoctoral positions at Texas A&M AgriLife

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  • Texas A&M AgriLife | College Station, Texas | United States | 11 days ago

    Herbarium collections and targeted field collections. Generate, manage, analyze, and synthesize genomic, phenomic/spectral, trait, spatial, environmental, and taxonomic data. Conduct phylogeographic, species

  • Texas A&M AgriLife | Temple, Texas | United States | 10 days ago

    agriculture data/tools (yield monitor data, spatial variability, management zones, ECa/EMI, LiDAR, VisNIR, and UAV workflows). • Proficiency in programming languages (R or Python) for automated reproducible

  • Texas A&M AgriLife | College Station, Texas | United States | about 4 hours ago

    spatial data collection using GPS. Required licenses, certifications, or registrations: Ability to obtain a valid driver’s license. What You Need to Know Position Funding: This position is grant funded and

  • Texas A&M AgriLife | College Station, Texas | United States | about 2 months ago

    assessment and evaluation of natural resource planning and management processes. Ability to select and conduct statistical analysis to describe spatial and temporal trends in water quality as a result of

  • Texas A&M AgriLife | College Station, Texas | United States | about 2 months ago

     to learn more about how you  can be a part of AgriLife and make a difference in the world! Position Information Responsibilities: Research (Primary Role) Develop and implement a spatially explicit

  • Texas A&M AgriLife | College Station, Texas | United States | 2 months ago

    : Research experience in environmental or resource economics. Proficiency in Python and R. Experience working with large and spatial datasets. Experience designing, implementing, or analyzing surveys

  • Texas A&M AgriLife | College Station, Texas | United States | about 1 month ago

    during field-sampling campaigns. Lead hybrid (Oxford Nanopore + Illumina) sequencing, assembly, and annotation of pathogen genomes; conduct comparative and population genomics to characterize spatial

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