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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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their research. Additional funds are available for supplies and travel essential for the fellow's research. Research Project: Under the guidance of a mentor, you will apply computational methods for identifying
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of microbial processes. Learn methods for measuring food texture, with a specific focus on vegetables, to explore applications in food science. This experience is designed to foster growth in scientific
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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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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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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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genetic assessment tools and methodologies using software programs such as ADMIXTURE, TreeMix, and GONe. Mentor(s): The mentor for this opportunity is Harvey Blackburn ([email protected] ). If you