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AI agents (cloud-based and edge AI) and related tools for cold supply chains. Participate in and/or lead stakeholder engagement efforts. Supervise and collaborate with graduate students in laboratory
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. • Familiarity with MODFLOW, MATPOWER, OpenDSS, Machine Learning based emulators, or agent-based modeling. • Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems
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, imaging, and computation. Show interest or experience in automation, AI-assisted microscopy, and data-driven experimental design. Have experience working with LLM-based chat assistants, AI agents
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: the originality of the project lies in the articulation of theoretical and empirical approaches, and in the design of multi-attribute incentive devices to improve the mobility of agents based on their situation
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dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and
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economic structures. Quantitative and Computational Skills: Proficiency in computational tools and data analysis (e.g., Python, R, agent-based modeling) for developing economic simulations and analyzing