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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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sequencing, single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, RNA in situ hybridization, and cell culture may be utilized as needed to investigate research questions. Data analysis and
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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
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methods and metrics to assess the effectiveness of science communication and translation initiatives. Support the implementation and analysis of these evaluation frameworks. Leadership in Communication and
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culture, serologic assays, or immunologic assays Experience in data analysis and interpretation, technical writing, peer-reviewed publication, and public speaking Possess interpersonal skills to perform in