13 finite-element-analysis positions at National Aeronautics and Space Administration (NASA)

A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data with Deep Learning Insights

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago

wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk

A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data with Deep Learning Insights

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago

wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk

Geologic sources of carbonaceous gasses and their impacts on terrestrial ecology

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago

. These challenges amount to large uncertainties in the global budgets of geologic CO2 and especially CH4 emissions, with estimates for the latter ranging between 1.6 and 63 Tg per year (1), a factor of 40. A new

Computational design for spacecraft applications

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago

manufacturing capabilities, such as plastic and metal 3D printers, and high-performance computing environments. Field of Science: Engineering Advisors: Ryan Watkins ryan.t.watkins@jpl.nasa.gov 626-658-1596

Computational design for spacecraft applications

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago

manufacturing capabilities, such as plastic and metal 3D printers, and high-performance computing environments. Field of Science: Engineering Advisors: Ryan Watkins ryan.t.watkins@jpl.nasa.gov 626-658-1596

Data Science for Satellite Remote Sensing and Earth Science Research

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 1 day ago

. Description: The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine

Investigating Air Quality Challenges and Impacts in California’s Central Valley

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago

working with complex datasets, including atmospheric measurements, socioeconomic and geospatial information. Proficiency in atmospheric data analysis and statistical techniques. Excellent written and verbal

New developments in polarimetric ground-based instrumentation for remote sensing and validation of aerosols and clouds

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago

. The candidate must have hands-on instrumentation experience and ability to connect this to atmospheric radiative transfer through an understanding of data processing and analysis. A successful candidate will have

Remote Sensing from Space: NASA Biodiversity and Ecological Conservation Opportunity with the NASA Earth eXchange (NEX)

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago

missions and other sources, models, analysis tools and research results through a centralized environment that fosters knowledge sharing, collaboration, and innovation. The NASA Biological Diversity program

Investigating Air Quality Challenges and Impacts in California’s Central Valley

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago

, or relevant disciplines. Experience working with complex datasets, including atmospheric measurements, socioeconomic and geospatial information. Proficiency in atmospheric data analysis and statistical