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-modular, agentic AI framework tailored to scientific modeling workflows. Rather than deploying AI as a black-box predictor, we propose a physics-aware AI agent architecture that interfaces directly
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Required degree: PhD in Computer Science, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website
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Required degree: PhD in Computer Science, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website
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Required degree: PhD in Computer Science, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website
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Required degree: PhD in Computer Science, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website
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Required degree: PhD in Computer Science, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website
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Required degree: PhD in Computer Science, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website
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PhD student will use agent-based modeling to simulate colonization resistance and ARG transmission dynamics, guiding the design of microbiome-based interventions. Collectively, this work will clarify
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modeling Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., ParFlow, WEPPCloud, agent-based models) Proficiency in scientific programming languages (e.g., Python
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, participatory systems mapping using fuzzy cognitive maps, and agent-based modeling of social-ecological systems. Desired Qualifications Required Degree: PhD Mixed methods researcher Research experience in