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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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. 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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analytical and problem-solving skills, with the ability to identify and resolve complex network issues. Strong written and verbal communication skills and can communicate technical information and ideas to a
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and excellence in ensuring secure and efficient IT services, regardless of the hour or complexity of the issue. The Network Security Engineer will report to the Manager, Network Security, who serves as
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to a quantum network would be competitive Demonstrated ability to assemble and test complex optical systems. More Information Location: [[Kent Ridge Campus]] Organization: [[National University
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). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge of interpretability methods to ensure ML outputs are meaningful in scientific
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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
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and computational models to study large-scale complex social phenomena. Interests of the Institute include large scale social behavior, network dynamics and dynamics on networks, social norms, opinion
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at a complex level and related technical standards critical to the operation of interconnected networks Experience working with LAN protocols including dynamic routing protocols (OSPF, etc.), gateway
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solutions, collaborate with senior leadership and cross-functional teams to align network strategies with business objectives, and drive the analysis of complex business requirements into innovative network