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interactive tools that engage diverse audiences, Participate in career development activities including mentoring students and grant writing, and Participate in the Network Science Institute community by
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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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interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science, Computer Science, Computational Social Science, Information
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This postdoctoral position focuses on securing large-scale distributed AI systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess
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Join us in shaping the future of 6G networks through cutting-edge research at the intersection of artificial intelligence, cloud systems, and next-generation communication infrastructures. In
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inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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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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) 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