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Field
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at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising
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theory. o SAT, SMT, and CHC solving. o Temporal logic and TLA+. o Distributed algorithms, blockchains, and smart contracts. o Quantum information theory and Markov decision processes. Additional
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. -) SAT, SMT, and CHC solving. -) Temporal logic and TLA+. -) Distributed algorithms, blockchains, and smart contracts. -) Quantum information theory and Markov decision processes. Conditions of employment
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technologies (LCTs, such as solar PV, electric vehicles, heat pumps or energy storage) to distribution networks. New active technologies that provide flexibility, such as network operator-owned power electronic
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? PhD position in Algorithmic Number Theory and Cryptography There is a vacancy for a PhD Research Fellow in Algorithmic Number Theory and Cryptography at the Department of Informatics . The position is
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 11 days ago
according to established rules, the second approach can pave the way to a respective verification service provided by European NMIs. Reference data generation and robust point cloud partitioning algorithms
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quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature
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platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges, including global cloud distributions, cloud microphysical properties and processes
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Location ESRIN, Frascati, Italy Description Data Quality and Cal/Val Manager for Atmospheric Sensor Missions in the Sensor Performance, Products and Algorithms Section, Earth Observation Mission
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geometry and variable stiffness composites Implement bespoke optimization algorithms combining shell geometry and fibre distribution accounting for nonlinearity and uncertainty Conduct optimization studies