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will gain experience in a combination of field, analytical, and modeling activities. These may include: Field Research Participate in winter field campaigns to collect snowpit profiles, stability tests
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assessment instruments and reporting templates into reproducible analytic products, including R-compatible templates, YAML-based table specifications, and dashboard components Learn how CDC builds capacity
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learning methods for process automation within SharePoint and Microsoft enterprise platforms. Under the guidance of a mentor, the participant will explore research approaches related to large language model
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DNA (eDNA) metabarcoding data. This will also generate robust, accessible workflows for both short-read sequencing and long-read (e.g. Oxford Nanopore MinION) datasets. Learning Objectives: Under
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, and learning how scientific information is translated into resources that support public health practice. Appointment Activities: Participate in training related to extreme weather and health
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molecular mechanisms underlying host–pathogen interactions, including bacterial colonization of the respiratory tract and evasion of host immune defenses. This will be through analytical pipelines and
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environmental health data, exploring health surveillance tools, and learning how scientific information is translated into resources that support public health practice. Appointment Activities: Participate in
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flood-induced resistance. Learning Objectives: The participant will expand their skills in plant metabolite analysis, plant genetics, and plant stress biology. They will also receive mentoring in writing
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to: Learning about aircraft systems engineering and systems analysis to support integrated design and performance assessment. Participating in aircraft design trade studies with a focus on propulsion–airframe