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. Enhancing knowledge on identification of two-spot cotton leafhopper immatures. Developing expertise on sampling method(s) for the two-spotted cotton leafhopper in a variety of crop and non-crop habitats
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to learn, apply, and develop their understanding around research programs such as 1) best methods to culture and utilize insect colonies for plant/insect interactions studies; 2) best methods for culturing
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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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research and data analyses, including: Model Development: Design and implement advanced statistical and mathematical models to support disease surveillance and risk assessment. Software/Code Development
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learning about the scientific process and field sampling methods. The fellow will also learn to identify common plant species of the interior Pacific Northwest, collect and process increment cores for tree
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sequencing in cattle. Developing better statistical methods to improve association studies with QTL and enhancing genetic prediction tools for automation of data processing required for SNP use in livestock
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experience in planning research activities, experimental design, data interpretation, and scientific dissemination. This opportunity also provides exposure to cutting edge methods in chemical ecology, insect
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in food and agriculture. Developing general and scalable artificial intelligence solutions. Designing and building image-based sensing technologies and prototypes for real-time deployment of AI 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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, California, conducts research to enhance food safety and biosecurity by developing new methods for analysis of toxins and bacteria in foods, and safe and effective compounds and management strategies targeting