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California State University East Bay | California City, California | United States | about 15 hours ago
from individuals able to teach introductory and advanced geology courses, GIS and Remote Sensing courses, and meteorological/atmospheric science. Opportunities may occasionally arise for teaching evening
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movement and convert them into velocity measurements characterizing the dynamics of the observed phenomenon. Deep learning methods dedicated to natural, medical or remote sensing images (optical, radar
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the field to inform farmers of varying soil conditions through traditional remote sensing techniques. For further Information, please email p.stowell@sheffield.ac.uk or look at the University’s website: https
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of qualifications. Interview on: - Atmospheric Physics and Remote Sensing: Knowledge of radiative transfer and hyperspectral sensors. - Programming: Proficiency in languages such as Python, Fortran, or C
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that fuse polarimetric observations with other measurements obtained through geostationary imagers and/or lidar. A wide range of in situ and remote sensing observation strategies are relevant, including those
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approach as long as it uses extensively this remote sensing technique to characterize precipitation. Once this objective is achieved the candidate will explore the climate processes that influence
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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will use the TOPAZ system, the neXtSIM sea ice model, the Ensemble Kalman Filter and remote sensing data. The TOPAZ system and the neXtSIM model are two forecasting systems developed at NERSC
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The Alaska Satellite Facility (ASF) is committed to making remote sensing data accessible, and we’re seeking a temporary detail-oriented administrative assistant to help achieve our mission in a
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that does not reflect local reality and thereby create unfair comparisons. Your work will include measurements of greenhouse gases (CO2, CH4, N2O) using drones and various sensors, as well as remote sensing