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astrobiology. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon
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astrobiology. Description: Overview The Earth’s terrestrial biosphere is a dynamic system where vegetation physiology, soil biogeochemistry, and anthropogenic management intersect to drive global
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-boundary layer interaction, shock-shock interaction, and boundary-layer transition, turbulence, as well as coupled fields such as heat transfer and fluid-structure interaction. Our primary methods for
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maneuverability using light-weight high temperature materials and adaptive structures for better overall performance. The development of such advanced systems require tightly coupled fluid-structure
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representations from LiDAR observations, including GEDI-derived canopy height, vertical structure, and aboveground biomass products. Through this research, the participant will learn to establish metrics for
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structure and produce top quality publications. Good communication, organization and interpersonal skills, and experience in presentation to international conferences are required. Description The focus of
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, and astrobiology. Description: This position is located at NASA Langley Research Center in the Advanced Materials and Processing Branch. It involves fundamental and applied research into the structure
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-WMRD-300028 Description About the Research CCDC ARL Center for Agile Materials Manufacturing Science (CAMMS, https://www.arl.army.mil
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at the time of application. Be employed as faculty at a Tribal College and University (TCU) included in this list: https://orise.orau.gov/zintellect-files/files/list-of-tcus.xlsx , and provide a
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atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https://science.gsfc.nasa.gov/earth/mesoscale for more information about the