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: Familiarity with rainfall–runoff modeling platforms (e.g., HEC-HMS, National Water Model, or NextGen) Understanding of flood frequency analysis (FFA), extreme precipitation, or stochastic hydrologic methods
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expand your research skills and knowledge under the mentorship of PhD-level scientists in entomological-based research, experimental design, and data analysis. Mentor(s): The mentor for this opportunity is
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, and maintain analytical pipelines and software; Evaluate emerging bioinformatics tools, datasets, and analytical methods; Collaborate on scientific presentations, technical documentation, posters, and
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methods for evaluating AI tools for public health applications; participate in the development and testing of AI-enabled analytical approaches, prototypes; examine how AI can help integrate and interpret
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opportunity combines molecular laboratory methods with collaborative field surveillance to advance the understanding of honey bee disease epidemiology and inform strategies for colony protection in Illinois
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practices and services. Apply public health assessment methods. Gain experience interpreting environmental exposure data. Develop scientific writing and communication skills. Learn federal public health
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insights gained throughout the appointment, you will learn to apply evidence-based methods to develop a research-prioritization matrix and collaborate on a draft a five-year research agenda for the ATSDR
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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
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the network. You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing
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systems. Activities may include collecting and analyzing experimental data; utilizing advanced optical diagnostic methods, high-speed imaging systems, and engineering instrumentation to characterize