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, Python, etc.). Demonstrated skills in developing statistical approaches for analyzing spatial and temporal data. Proficiency in processing and analyzing meteorological data. Knowledge of code and software
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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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. Handling unknown pathogenic agents mandates the use of personal protective gear. Preferred skills Knowledge of general laboratory practices including use of common laboratory equipment (centrifuge
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. The PNW Research Station’s mission is to generate and communicate knowledge to help people make informed choices about natural resource management and sustainability. Research priorities include generating
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, field, and growth chamber research Knowledge of crop production systems of major crops/weeds Strong background in weed biology, herbicide resistance research, and field/greenhouse/growth chamber
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bioinformatics pipelines for virus detection. Previous experience with NGS data analysis using high performance computing as well as knowledge of cell culture and molecular assays can facilitate your training
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The qualified candidate should be currently pursuing or have received a bachelor's or master's degree in the one of the relevant fields. Preferred skills: Knowledge of environmental and hydrologic investigations
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sensing and decision-making in poultry processing environments. Learning Objectives: Under the guidance of a mentor, the participant will gain knowledge and experience in: Applying hyperspectral imaging
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insect pests. Under the guidance of a mentor, you will engage in collaborative research to build comprehensive knowledge bases on the behavior, ecology, physiology, and genetics of invasive insect pests
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fellowship will join a team of research forester and geneticists addressing knowledge gaps related to reforestation in an era of increasing stress and disturbance. The research fellow will help maintain a