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). Experience with GIS software (ArcGIS, QGIS) Field data collection, processing and interpretation experience Formal Computer Science coursework. Ability to research effectively independently and as part of a
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, engineers, and researchers focused on developing medical clinical decision support systems utilizing extended reality technology. You will participate in various projects utilizing software engineering
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. Research Project: The participant will engage in a research initiative aiming to improve the Agency's understanding of ATP-bioluminescence technology, which has been identified as a rapid microbial method
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to receive by 9/30/2026. Preferred skills: Demonstrated experience and extensive practical experience in modern genomic and transcriptomic methods, including but not limited to comparative genomics, population
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transcriptomic methods, including but not limited to comparative genomics, population genomics, RNA-seq, genome assembly, variant calling, and other high-throughput sequencing approaches. Advanced proficiency in
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scientists at the Coweeta Hydrologic Laboratory. Specifically, the fellow will be able to: Apply statistical methods to assess changes in precipitation characteristics and water yield over time, with focus
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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
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micrometeorological and remotely sensed datasets, as well as the analysis of soil and plant samples. Advance experimental design techniques by developing, evaluating, and refining innovative measurement methods
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will have the opportunity to contribute to collaborative research between the Methods
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foreign fungal plant pathogens. Gain understanding of fungal virulence factors and mechanisms of pathogenicity through mentored research. Learn methods for characterizing high-consequence agricultural