114 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs in United States
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 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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Washington State University encourages all qualified candidates to apply, including members of the military and veterans, and persons with disabilities. WSU employs only U.S. citizens and lawfully authorized
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
and machine learning, and for the public to see the worlds of the outer solar as they would appear to our eyes for the first time. The envisaged project includes: image selection, cleaning and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
missions (e.g., Surface Biology and Geology - SBG). This could involve advancing atmospheric correction, dimensionality reduction, or machine learning approaches for handling big data in order to improve
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or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer work to generate
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must have the following essential skills: Strong background in plant breeding and genetics Strong computer skills and proficiency in R or other programming languages Outstanding interpersonal and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
, machine learning, and plant genomics. Our lab seeks to explore and understand the regulatory network of plant genes, their regulation in response to environmental stress at the single-cell level, and the
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time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency