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, curate, and analyze field measurement datasets and associated environmental and economic information for model parameterization and validation. Develop or enhance model algorithms simulating carbon and
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
· Data-centric ML algorithms, e.g., generative and large language models · Scientific data organization, management and retrieval Duties and Responsibilities The candidate will work in a convergent team
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 33 minutes ago
HALO activities that include evaluating instrument performance and data quality, developing new algorithms or approaches to derive new atmospheric data products (water vapor, methane, and or aerosol
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory
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. The current position deals with free-space optical transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms
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or MATLAB, integrating data preprocessing, feature extraction, and classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high