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Field
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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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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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 7 hours 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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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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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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involves conducting data analysis, implementing machine-learning algorithms to achieve or exceed industry-standard bits-per-second (BPS) accuracy, and preparing results for publication in peer-reviewed
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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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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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interaction Research and design multi-modal foundation models to enhance robot autonomy, social perception and collaborative decision making Design and build machine learning algorithms and frameworks
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for data acquisition, storage, and pre-processing. Five Data Cubes will integrate satellite datasets and employ near-real-time server-side algorithms for time-series analysis and the generation of value