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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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received by November 1, 2025. Preferred skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation
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the need to assess the distributions and potential conservation status of tree species as important elements of biodiversity, cultural heritage, and other ecosystem services. Learning Objectives
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, improved, and further miniaturized. The learning objectives for this project are: (1) learning about the design and operation of an advanced laser induced breakdown spectroscopy system for downhole and harsh