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tools such as agent-based modeling (ABM), system dynamics, network analysis, game theory, and scenario planning. Facilitate modeling of feedback loops, adaptation, emergence, and collective behavior in
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. Introduce and apply tools such as agent-based modeling (ABM), system dynamics, network analysis, game theory, and scenario planning. Facilitate modeling of feedback loops, adaptation, emergence, and
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. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships
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real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic
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development, social behavior, strategic governance, education, migration, or resilience. Introduce and apply tools such as agent-based modeling (ABM), system dynamics, network analysis, game theory, and
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with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in operations research methods (e.g., linear, nonlinear, integer, stochastic programming) and
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, analyze, and optimize new algorithms and system architectures for secure communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish
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algorithms, optimization routines, and simulation-based decision tools. Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in
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communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish results in leading journals and present findings at top-tier international
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. Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in operations research methods (e.g., linear, nonlinear, integer