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devices dedicated to implementing next-generation QKD system protocols (high-dimensional systems, stable and robust architectures, etc.). Share this opening! Use the following URL: https://jobs.icfo.eu
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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, and evaluation in distributed and privacy-aware settings. While the position is supported by an AI for Science project on privacy-preserving federated learning, the broader objective is to advance
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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization in Quantum Networks: Algorithm Design and Analysis", working with Dr
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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project “Utility Optimization in Quantum Networks: Algorithm Design and Analysis”, working with Dr
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experience. Key Responsibilities This is a 1.0 FTE exempt position with the following general allocation of effort: 50% effort – in collaboration with the UVM Cancer Center’s community outreach and education
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energy goals. ESIA also develops, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as
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of cyber-physical systems is available from March 15 th or as soon as possible thereafter. The employment will be for a period of 12-24 months. The candidate will be part of the section Distributed, Embedded
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the development of the third generation of detectors which will offer an order of magnitude increase in sensitivity. The ET project, a third-generation experiment to be realized in Europe, has been included in