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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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) 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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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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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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to ingest data from various systems (e.g., SAP, APIs, databases) Ensure data quality, consistency, and lineage across all stages of the data lifecycle Optimize pipeline performance and resource usage in line
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an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social
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will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with specific focus on cost-effectiveness
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familiarity with fundamental concepts) in several of the following topics: Signal processing for wireless communication. Solid background in optimization and information theory. Good understanding