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pooling coordination schemes for CF-based 6G RANs. His/Her work will adress objectives like: (i) develop low-complexity ML algorithms for efficient multi-objective network optimization, radio resources
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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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maintain scalable Azure ML compute clusters with autoscaling, monitoring, and resource optimization to support high-performance ML training and inference. Build automated ML training job scheduling
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activities. The position will involve updating and evaluating optimal conservation sites and conducting long-term monitoring of transplanted and tagged juveniles in the Amvrakikos Gulf and the gulfs of Kalloni