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, data analysis, and network measurement. In fact, the Ph.D. candidate contributions will advance our ability to detect and understand how users are tracked across devices, apps, and ecosystems, providing
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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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for two PhD students to join the group and research in the field of Quantum Internet. The research will target: Advanced quantum communication technologies, participating in regional, national and EU
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