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is also desirable. Background or interest in complex systems theory and applications, particularly in interdisciplinary social-ecological contexts, is strongly preferred. Commitment to diversity
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out and participate in the research of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and
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in the everyday experiences of agroecology, political ecology of food systems, and critical social science perspectives on climate change adaptation with disciplinary skills and interests from
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, researchers, visiting fellows, and graduate students who combine interdisciplinary interests in the everyday experiences of agroecology, political ecology of food systems, and critical social science
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testing and applying psychological theory in legal contexts is important, but prior experience doing so is not required. Additional beneficial but optional experience and skills include multi-level
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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. Experience or interest in pedagogy research is also desirable. Background or interest in complex systems theory and applications, particularly in interdisciplinary social-ecological contexts, is strongly
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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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a closely related field (e.g., Organizational Behavior, Criminology) by the start date of employment. Some interest in testing and applying psychological theory in legal contexts is important, but
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research