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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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satellite connectivity. This involves investigating and optimizing the wireless baseband chips, their firmware, the smartphone operating systems, the associated smartphone ICT ecosystem, and the related
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PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence for next-generation (6G) communication systems. The project focuses on integrating Artificial
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: “Optimizing microwave plasma-based reduction of metal oxides” under the supervision of Prof. von Keudell, Chair for Experimental Physics – Reactive Plasmas at the Faculty of Physics and Astronomy, Ruhr
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30 kHz by a burst laser source combined to two Optical Parametric Oscillators (OPOs) [7] applied on H2/air flame. The optimization of OH and NO excitation strategies and the quantification
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PhD thesis Resource-Aware AI for Next-Generation Networks. The PhD project will investigate resource-aware Artificial Intelligence (AI) mechanisms for next-generation communication systems. The research
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therefore a key challenge for the green and digital transition. In this project, you will apply state-of-the-art AI methods to optimize functionalized membranes for selective rare-earth recovery, helping
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and
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research projects, related to Wireless Communications, 5G/6G, Smart Grids, and IoT. IQU´s R&D department is seeking one doctoral candidate within the framework of the Marie Curie Doctoral Network NEWTON
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architectures, while also being in line with the Open RAN initiative; Novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources. In