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Project: Under the guidance of a mentor, the participant will conduct research on targeted and non-targeted analysis of per- and polyfluoroalkyl substances (PFAS) in food and food contact materials
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digestive diseases, primarily acidosis and ketosis. Under the guidance of a mentor, the participant will perform RNA extraction, quality control, RNA sequencing library preparation and data analysis. Learning
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will have the opportunity to take part in most aspects of field deployment, data collection, and data analysis. The opportunity will include a range of activities and experiences including preparing
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world-class research, analysis, data analytics, and artificial intelligence opportunities within Office of Policy (OP). Enhance their preparedness for scientific, technological, research and policy
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mathematical, computational, or epidemiological modeling (e.g., SEIR models, agent-based models, network analysis). Proficiency in statistical programming (R, Python, Julia, MATLAB). Familiarity with GIS and
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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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the need to assess the distributions and potential conservation status of tree species as important elements of biodiversity, cultural heritage, and other ecosystem services. Learning Objectives
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of agricultural production. develop or enhance his/her knowledge of various soil, plant, and water measurement techniques. develop or enhance skills in the analysis of comprehensive crop, soil, and water datasets
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). Experience with high-throughput sequencing analysis pipelines (e.g., genome assembly, phylogenetics, variant calling). Familiarity with AI/ML approaches for biological data is highly desirable. Background in
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continuing education. A component of Air University and Air Education and Training Command, AFIT is committed to providing defense-focused graduate and professional continuing education and research to sustain