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NIST only participates in the February and August reviews. Frequency combs are a powerful sensing tool capable of measuring broadband spectra with high resolution and high precision. The diffraction
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Job Description Embry-Riddle Aeronautical University's Worldwide campus is currently hiring adjunct faculty to teach MSPO 511 - Earth Observation and Remote Sensing. Course Description: This course
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NIST only participates in the February and August reviews. Open path dual-comb spectroscopy (DCS) has been shown as a powerful tool for determining greenhouse gases emissions in urban areas [1] and oil/gas production regions [2]. We have recently shown that DCS can be used to precisely measure...
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, including the Facility for the Spectral Irradiance and Radiance responsivity Calibrations using Uniform Sources (SIRCUS), the Hyperspectral Image Projector (HIP) Laboratory, the Remote Sensing Laboratory, and
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Job Description We are searching for a postdoctoral researcher in the Hydrologic Innovation and Remote Sensing Lab of the Geoscience Department, Virginia Tech. The NASA-funded research includes a
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: Experience with remote sensing analysis, geographic information system, or flood mapping and analysis. Experience with geospatial data management. Knowledge of cloud-based applications. Preferred
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, system and network technical support to clients both locally and remote, via phone, email and remote tools. Provide end user support as needed. Provide, maintain, and improve upon excellent customer
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. The position will be located at the National Space Science & Technology Center in Huntsville, Alabama, and will support the scientific development and application of satellite remote sensing products. Some of
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Stanford University, Department of Earth System Science | Palo Alto, California | United States | 11 days ago
The Remote Sensing Ecohydrology Group at Stanford University, led by Prof. Alex Konings is looking for a postdoc to research live fuel moisture content dynamics in the context of Western US
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Dr. Chirayath to lead benthic habitat mapping efforts using the NASA NeMO-Net tool and ACES remote sensing datasets. Previous experience with machine learning for semantic segmentation and deep