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of AI methods to improve the performance of quantum communication networks; (ii) the design of indicators for analyzing the efficiency of quantum tasks across different architectures; (iii) the study of
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Post-doctoral researcher in networking, edge systems and AI support for 5G/NextG network systems and vertical applications
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management Cognitive radio or adaptive communication systems, including dynamic spectrum access, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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• Information-theoretical analysis of entanglement-supported classical communication, • Encoding protocols for entanglement-assisted classical communication, • Protocols for interleaving transmission in networks
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 1 day ago
the PEPR Future Networks , and its PERSEUS project. PERSEUS focuses on the technologies, processing and optimization of next-generation cellular cell-free networks. This includes the development of robust
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
to predict protein binding interfaces in flexible and disordered regions. bioRxiv. Design and implement novel graph neural network architectures (Message-passing GNNs, Graph Transformers, graph community-aware
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Associate with background on AI and machine learning for wireless networking and communications. The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless