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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 12 hours ago
profile measurements of methane, and profile measurements of aerosol/cloud optical properties using the DIfferential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL) techniques
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 25 days 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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 24 days ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Clouds, in particular the frozen phase, bring about the largest challenge and uncertainties
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. Posting Summary The Eastern Pacific Cloud, Aerosol, and Precipitation Experiment (EPCAPE) was designed to investigate Aerosol-Cloud Interactions and cloud brightening in California marine stratocumulus
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planetary health— located in Ithaca, NY, invites applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of
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evaluation Knowledge in biology and genomics Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy) Familiarity with Linux environments, version control (Git), cloud
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 1 day ago
include but not limited to the following: Developing the radiative kernel approach to study different feedbacks in the climate system. Investigating the coupling among clouds, sea ice and ocean in the polar
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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), Transformer-based modeling, and clinical NLP is highly desirable. Experience with cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure, and tools like BigQuery, Vertex AI, or Azure ML Studio