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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The fellow will be involved in bioinformatics and statistical analysis in genetics
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about: NGS library construction for genome and transcriptome sequencing. Marker-trait association analysis to identify genetic variations associated with important traits such as disease resistance and
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with digital PCR, multiplex PCR, and microbial community analysis required. Participant will also learn about statistical analysis of data in consultation with ARS colleagues. Participant will be a part
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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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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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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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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 modeling, or a related discipline). Preferred skills: Experience with mathematical, computational, or epidemiological modeling (e.g., SEIR models, agent-based models, network analysis). Proficiency
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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