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Field
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
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particular emphasis on energy efficiency. The work targets more energy-efficient mobile communication networks - particularly within the Radio Access Network (RAN) - while preserving service quality. The role
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, pioneering technological advancements such as metasurfaces for ensuring uninterrupted communication in obstacle-riddled environments, and ML-based design of medium access, resource allocation and network
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surveys on the subject. Contribute to developing novel communication designs to optimize the WSN-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of
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ICT Services & Applications. The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus
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. Experience in decision-making under uncertainty and/or life cycle analysis and optimization is preferred. Smart, Connected, and Healthy Communities: Smart Mobility & Sustainable Transportation The Ezra Systems
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allocation and optimization Joint Communications and Sensing/PNT systems Network virtualization and network slicing MAC techniques/protocols for wireless systems Multi-antenna signal processing Graph signal
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established protocols and contribute to the design and optimization of new experimental protocols and workflows. In addition, the candidate will be responsible for the maintenance and servicing of critical
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model classifiers (PLS-DA, random forest, neural network, etc) towards unraveling materials structure-function relationships, and are familiar with optimization approaches such as genetic search, Bayesian