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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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) Develop, optimize, and experimentally validate MC-based reliability solutions for multi-orbit systems compared to single-connectivity baselines Carry out research in other related areas Disseminate findings
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy
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capable to monitor and interpret the trainee progress and to provide assistance when needed with the objective to optimize the acquired knowledge and skills but the trainee motivation. In addition
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. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing
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resource management, the University has established a central Procurement Office to define and implement purchasing policies that ensure an optimal balance between cost-effectiveness, quality, and
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics? How do neurons, glial cells, and immune cells communicate, and how can
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culture of quality assurance Acquire and maintain optimal relationships with European and international Higher Education quality assurance community Your profile Higher education degree (Master or PhD