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. Description: This research opportunity is for candidates with special interest in radar remote sensing of vegetation. The proposed project includes radar scattering and ecosystem modeling. The remote sensing
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. Description: Imaging spectroscopy presents a new window on terrestrial ecosystem function and biodiversity, allowing remote sensing to progress from studying greenness to observing a key dimension of diversity
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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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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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requirements: The candidate must have obtained their PhD within the last 7 (seven) years, counted from the start date of the fellowship, and have experience in remote sensing applied to agriculture and/or
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | about 1 hour ago
to advance use of foundation models for Earth Science research and applications, including fine-tuning experiments Use of remote sensing, models, and/or machine learning to further our understanding
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use their skill for the benefit of society in the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral
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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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of the most interesting and important environmental changes are taking place), and are typically destructive to the target plants. Remote sensing methods --- ranging from handheld and drone-based measurements
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote