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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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preparation, improve data consistency, and support cross-team coordination—ultimately enabling USGS scientists and support staff to redirect time toward higher-value analytical, interpretive, and field-oriented
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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
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, fostering the research necessary to maintain global competitiveness in innovative technologies. The learning objectives for this project are: • Developing innovative approaches that effectively convert REE/CM
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and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used