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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
Qualifications The ideal candidate will have experience with the atmospheric chemistry of fire plumes and the use of remotely sensed data on atmospheric trace gas amounts, alone or in combination with in situ data
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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Position Summary BioSCape Postdoctoral Position in remote sensing of biodiversity BioSCape is an ambitious NASA-led field campaign integrating airborne remote sensing, field ecology, and emerging
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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leadership in agricultural discoveries through scientific excellence. Research Project: USDA-ARS in Manhattan, KS is developing affordable remote-sensing tools to rapidly detect insect activity and grain
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 10 hours ago
and tools. Ability to work with large observational, reanalysis, remote-sensing, and operational ocean/environmental datasets and to integrate these data with physics-based models. Knowledge of model
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datasets and remote sensing products (e.g., satellite-derived indices, geospatial data analysis) is highly desirable. The selected candidate will also provide support (30%) to a second project focusing of