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for use in academic presentations and publications. Translating social network data into sociograms that clearly organize and communicate the properties of the network and any changes that have taken place
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academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on
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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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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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bases, interventions and policies focused on sustainability and net zero transformations. By connecting sustainability with justice, research with action, and constituent knowledge producers and community
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bases, interventions and policies focused on sustainability and net zero transformations. By connecting sustainability with justice, research with action, and constituent knowledge producers and community
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communications-related performance metrics were considered, such as reliability, connectivity, throughput, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically
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modeling approaches for metabolic metabolism and microbial communities. Familiarity with recent developments in metagenomics analysis and metabolic network reconstruction. Experience in microbial metabolism
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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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