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include the development of predictive models for disease resistance, genome-wide association studies to uncover resistance loci, automated phenotyping approaches using image data, and integrative multi
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students and collaborate on aquatic ecology field projects in southeast Alaska wilderness watersheds. Learning Objectives: Learn about bioenergetic food web models to quantify food web energy fluxes between
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a wide variety of conditions. But the current generation of these models struggle to accurately capture interactions between watershed hydrology and crop performance. In collaboration with the mentor
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propulsion system performance, including hybrid-electric configurations, and associated flight envelope limits. Gaining experience in the evaluation of aircraft mission performance using modeling and
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bioinformatic and statistical analyses of genomic, transcriptomic, and/or metabolomic data to support systems biology modeling of host–pathogen interfaces, host–microbiota interactions, and host immune responses
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long timescales, water quantity (yield) reflects the balance between precipitation and evapotranspiration, the latter being strongly controlled by the amount, type, and growth of above-ground biomass
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. Research Project: A Postdoctoral Fellow will participate in a project focused on analyzing forest change and disturbances on U.S. forests. In this project, we will collaboratively develop one or more models
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to monitor evapotranspiration (ET) and other surface fluxes at sub-field scales using both in-situ and remotely sensed data. Apply remote sensing models to estimate ET and surface fluxes using high-resolution
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genetic pest management. The fellow will investigate the structure, function, and epigenetic control of genes on the X and Y chromosomes of fruit flies in the insect family Tephritidae which are major
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meningitidis and N. gonorrhoeae using a wide range of methods including animal models, cell culture, and proteomic methods. Mentor: The mentor for this opportunity is Margaret Bash (Margaret.Bash@fda.hhs.gov