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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The forthcoming Atmosphere Observing System (AOS) mission aims to provide spaceborne observations
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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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engagement and integration. UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91
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part of change This position is part of the PhD project under Horizon Europe MSCA Doctoral Networks "FOCAL" (https://cordis.europa.eu/project/id/101169042 ): Architecture design and effective routing
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28 Mar 2026 Job Information Organisation/Company CNRS Department Physique des lasers, atomes et molécules Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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18 Mar 2026 Job Information Organisation/Company Senckenberg Gesellschaft fuer Naturforschung Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions Postdoc
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PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence for next-generation (6G) communication systems. The project focuses on integrating Artificial
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a highly motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System
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27 Mar 2026 Job Information Organisation/Company University of Bergen Department Department of Mathematics Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD
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the area of quantum and hybrid classical-quantum networks regarding their design, management, and debugging in distributed architectures. Well-Planned Interdisciplinary Training: To sustainably train PhD