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extensive experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic about
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extensive experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic about
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will develop novel theoretical frameworks and signal processing techniques (traditional and/or AI based) for Near-Field ISAC in distributed cell-free 6G networks. The research will investigate the
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developed solutions, implementation, and experiments, leading to publications in major conferences and journals in the field of wireless communications, signal processing, and/or embedded computing
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, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or