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; - Testing on Grid 5000-type server clusters, with energy profiling. - Testing on distributed data centers built using recovered hardware and hosted on private premises (e.g., the Deuxfleurs service) and
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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(e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and pilot tests. Draft technical reports and scientific publications. Coordinate with internal
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tools, software, and decision-support approaches from both France and Italy, as well as the advances from the resulting research work. This collaboration between four French partners (Université Savoie
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
these architectures through simulation (e.g. ns-3) and hardware test platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science
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-modal data. This role offers high independence, rapid idea testing, and close collaboration with an interdisciplinary team. If you are excited about tackling problems in complex networks, causal inference
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Engineering Center (PSEC) at NREL, a highly interdisciplinary and collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description We are seeking
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research on new models integrating terrestrial plant biodiversity, ecosystem productivity, hyperspectral remote sensing and airborne LiDAR to test prominent hypothesis of the effect of tree diversity