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Research Fellow for a learning opportunity using cutting-edge genomic and transcriptomic methodologies to drive innovative biological control strategies against high-impact invasive insect pests. Under
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techniques: QuEChERs, SPE, and SPME. Be trained in the following analytical technologies: LC-MS, GC-MS, CE and TXRF Learn how to perform basic statistical analyses and summarize data sets Learn about
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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
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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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analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management, keeping accurate notes, and
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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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chemicals in vitro and live food animals. Learning Objectives: The candidate will receive comprehensive, multidisciplinary training in analytical, environmental, and synthetic chemistry, with a focus on PFAS
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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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the underlying impacts of stressors on bee health and analytical skills for understanding colony level dynamics and predicting mass colony loss events. Learning Objectives: The fellow will learn and apply
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on purification of antibodies, antigens and other proteins of interest that aid in developing vaccines and biologics. The participant will collaborate on this project under the guidance of the Analytical Chemist in