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Field
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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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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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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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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
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numerical modeling, remote sensing applications, and the development of data-driven decision-support tools. The successful candidate will work on a NASA-funded Transboundary Model and Data Homogenization
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community that is driven by its mission, where it will be possible for your work to directly make a difference for society. Benefits Friday afternoons off. Flexibility: our open working model combines remote