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(deterministic, stochastic, robust, reinforcement learning–based) • Systems architecture and design for complex socio-technical systems • Graph theory, network science, and knowledge representation • Agent-based
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability
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concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy
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researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber-Human-Physical Systems, it tackles issues like
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. The Postdoctoral Associate will also help to build and sustain the Lab of Labs, a collaborative and dynamic network of researchers in purpose science across institutions who desire meaningful opportunities to engage