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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
. Description: New techniques and instrumentation are developed and applied for remote atmospheric measurements. Current research includes cloud and aerosol studies using space-based lidars such as the Cloud
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/cloud observations), and scientific analyses of data sets from the lidars alone or in conjunction with other field data or coincident satellite remote sensing data. Candidates may work with past data sets
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, optical and lidar sensors together with auxiliary data to generate AI-ready datasets. Prepare large training data sets from other satellite remote sensing instruments and auxiliary data Present results
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
. Description: Participant will develop integrated photonics technology for space-based remote sensing applications. Integrated photonics is used for light creation, manipulation, processing and detection in a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
ability to design experiments and evaluate models rigorously. Experience with remote sensing modalities such as LiDAR and optical imagery is important, and familiarity with GEDI, Landsat/HLS, biomass
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, Remote Sensing and Biogeography Lab and Robotic Discovery Lab. Candidates must have a Ph.D. in acoustics, or oceanography with demonstrated strengths in large data analysis, multivariate statistics
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inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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a multi-metal lidar and doing regular quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
should have a strong background in data science, machine learning, remote sensing, wildfire science, or a related field. Experience with deep learning frameworks, satellite observations (e.g., Sentinel
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remote sensing using active sensors. The successful candidate must have a record of publication that demonstrates a process-level understanding of the forces that shape marine cloud microphysics