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Field
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, and social networks, cluster within families, and how they, in combination with molecular profiles, relate to the physical living environment, health outcomes, and lifespan. This knowledge will then be
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a
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, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis
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develop transformative therapies for glioblastoma (GBM) by understanding the disease on its own biological terms, within the complex context of the human central nervous system. We are entering an exciting
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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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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, photonic devices for communications, optical networks, and fiber sensors. SCIENTIFIC CONTEXT Optical fiber forms the backbone of the communication systems. The exponential increase in data traffic is putting
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basic research neurobiology lab at the Free University in Berlin Germany. The main focus of the lab is the study of how genomic information 'unfolds' to develop neural networks with remarkable information
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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