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metabolic changes during these events. Techniques may include using GC and LCMS for metabolic flux analysis using pathway labelling as well as analysis of changes in peel surface polymers due to cold chain
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molecular and -omic methods. Learn advanced statistical and bioinformatic analysis of bulk and single cell transcriptomic data. Develop methods to link food nutrition environment with health outcomes. Learn
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, geospatial modeling, and statistical analysis to characterize land use trends related to the northeast agricultural industry and identify impacts and opportunities of agricultural land use transitions
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routinely collaborates with other U.S. Government agencies, allied nations, and academic research institutions. Our work directly impacts the DoD and MHS by: Providing real-time analysis, at the genomic scale
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Force School of Aerospace Medicine is offering a faculty research fellowship at the University of Cincinnati. What will I be doing? The Aerospace Medicine Studies and Analysis Support Branch of the U.S
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experience in the following: Bacterial and/or bacteriophage culturing and quantification Whole genome sequencing and analysis GC or LC-MS experience Federally funded proposal preparation experience Application
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analysis of projects relating to different aspects of vector biology, including ecology, population genetics, management strategies, virus interactions, and virus-transmission competence, depending
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. National Park Service Resource Stewardship Strategies), provide detailed analysis of each process, and interview with key contacts at each agency to better understand internal planning and decision-making
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genomic data. Strong capability in programming languages commonly used in bioinformatics, including Python and R, for data analysis, statistical modeling, and visualization. Familiarity with high
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subsequent data collection and analysis Via validated instruments and approved human volunteer protocols, assessing science learning outcomes and attitudinal changes using Atlas.ti and SPSS. Where will I be