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rainfall–runoff models, such as HEC-HMS and the National Water Model, to support more reliable flood frequency analysis and improve flash flood predictions in small watersheds. Under the guidance of a mentor
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problems that also depend on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis, integration, and analysis of large, diverse
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help you build skills in data analysis, written and oral communication, organization, collaboration, and public health emergency response. You will also gain experience in a fast-paced public health
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of prospective projects/tests Understand how to design and develop test plans and analysis methodologies through participation in test teams Learn presentation techniques incorporating information related
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, clinical cohort analysis, and patient-reported outcome methods to improve understanding of ME/CFS and related infection-associated chronic conditions and illnesses (IACCIs). Research Project: A research
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evaluating potential feed ingredients by determining protein and lipid content, as well as fatty acid and amino acid profiles. Develop skills in nutritional analysis methods, including sample preparation
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, including models customized for fungal genomes. Training will include crop and fungal RNA-seq analysis; integration of multi-omic and phenotypic data; protein-interaction and structure-based analyses; and
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analysis and documentation. The project may provide exposure to Sanger sequencing, Next Generation Sequencing (NGS), PCR-based platforms such as QIAcuity digital PCR (dPCR) system, and data analysis
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project topics of interest – visit: https://orise.orau.gov/eif/default.html Questions? Contact ORISE at [email protected] with the subject line: “EIF Program Question”. Application Deadline 10/2/2026
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systems, documentation protocols, standard operating procedures, data integrity protection, and the necessity of generating reliable laboratory results. Scientific data interpretation and problem-solving