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Field
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the U.S. achieve energy goals. ESIA develops, deploy, and advances grid technologies that ensures a robust and secure U.S. grid transmission and distribution system. ESIA also collaborates with government
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: Professor Zhongwen Zhan) to design, build, and validate a miniaturized Distributed Acoustic Sensing (DAS) system for the lunar environment. Key responsibilities: - Architect and prototype a low-SWaP (Size
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0328-NPP-NOV25-JPL-TechDev How to Apply All applications must be submitted in Zintellect Please visit the NASA
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25 Sep 2025 Job Information Organisation/Company CNRS Department Évolution, génomes, comportement et écologie Research Field Biological sciences Environmental science Researcher Profile First Stage
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perforation, and the partial encapsulation or/and amorphisation of the 2D materials. The originality of our project is to design the spatial organisation and density distribution of phonon scattering centers
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hardware and radio systems to distributed cloud platforms and applications. This broad expertise enables research that seamlessly connects connectivity, computation, and cloud-native design. To The Division
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feedback. The research connects to international initiatives and offers opportunities to collaborate with leading European groups developing open and trustworthy AI systems at scale. Out-of-Distribution
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leading European groups developing open and trustworthy AI systems at scale. Out-of-Distribution Deployable Machine Learning Key words: out-of-distribution generalization, machine learning, active learning
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the capabilities of fully digital Large Intelligent Surfaces. Subject description The research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent
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the microclimate within an agroforestry system is essential for optimizing tree distribution, with the aim of maximizing yields while limiting inputs and mitigating the environmental dispersion of contaminants