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on SAR and optical images, GPS, seismometer waveforms, and gravity measurements. Time series analysis of the SAR interferometry and other data is a key part of the research. We then infer the structure and
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture
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more comprehensive, chromatic picture of stellar activity, focusing on building a sample of well-characterized active stars (high RV jitter) that are amenable to ultra-high signal-to-noise (SNR
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The project focuses on the use of drones, robotic dogs, and imaging technologies
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protocols using aerial and ground-based platforms for agricultural safety monitoring. Apply advanced image analysis and computer vision techniques to identify and classify food safety risks in agricultural
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troposphere and stratosphere (UT/S) - and its role in climate. We use a combination of satellite data, high-altitude aircraft measurements, and models to investigate variations in and processes that impact
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Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export
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the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (4 ) Engineering (1 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s). ORISE GO The ORISE
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concept to prototype testing and calibration. This solid engineering background will be advantageous to the participant in their future career. Mentor(s): The mentor for this opportunity is Samir Trabelsi
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technical processes in detailed reports and presentations. Disseminating your research through scientific research journals, presentations, and technology demonstrations. Where will I be located? San Antonio