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Eastern Time Zone Description Want to learn more about the US Department of Homeland Security and the research the agency and component agencies do to enhance your research interests and career goals
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wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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for participants seeking to expand their expertise in molecular biology, virology, ecology, or bioinformatics while contributing to projects of national importance. Learning Objectives: Under the guidance of a
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School (NPS) Center for Infrastructure Defense (CID) leads research that supports the continued operation of critical military and civilian infrastructure systems in the presence of failure, natural
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techniques utilized in ForestGEO and the computer software and hardware technology currently being used. The participants will be mentored as part of a larger field team to learn the field protocols
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related area, including meteorology, hydrometeorology, remote sensing, surface and atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https
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that protect U.S. farmers, livestock, and food security. Learning Objectives: Under the guidance of a mentor, the participant will have the opportunity to: Develop and refine computational models to predict
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, and agricultural resilience. Learning Objectives: Under the guidance of a mentor, the participant will have the opportunity to: Design and conduct bioinformatics research projects focused on Nipah virus
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is for the student to learn how to operate membrane, solvent, and resin technologies that will be crucial for future domestic critical mineral recovery from waste streams, such as produced water
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conditions, and conducting pre- and post-test material characterization to understand degradation mechanisms and inform future designs. Learning objectives for this project focus on acquiring expertise in