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machine learning, data analytics, or computational biology. The ability to research independently as well as collaboratively, and a record of scientific productivity. Stipend $70,000.00 – $80,000.00 Yearly
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integration and technology selection. Participating in aircraft operations trade studies to evaluate economic viability and military effectiveness. Developing and applying analytical skills to predict installed
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characterize labeled/unlabeled compounds. The fellow will collaborate with the team members on the development of high throughput analytical methods for target compounds and investigation of the fate of target
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, including postharvest fumigants, pesticides and chemical markers of quality, in horticultural commodities and the environment using advanced analytical chemistry techniques such as chromatography (gas, liquid
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. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and identify adaptation mechanisms at a
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the relationship between instrumental flavor analysis and sensory evaluation. Learning Objectives: The fellow will gain experience in a variety of advanced analytical techniques, including gas chromatography (GC-MS
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products will be characterized by spectroscopic, rheological, thermo-oxidative techniques, and any other analytical techniques as necessary. Learning Objectives: This research will give the participant
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, concepts, and statistical/analytical approaches in food web ecology. Experience in stream and river ecosystems and familiarity with the ecology of Pacific salmon or similar freshwater fishes. Experience
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conducting and helping with knowledge-synthesis research focused on animal and population health, as well as other research and analytical projects focused on new world screwworm and mosquito transmitted
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use a range of spatial and analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management