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communities it serves. Essential Functions Develop, train, and fine-tune cutting-edge AI and GeoAI models for environmental monitoring and the analysis of complex spatiotemporal phenomena. Integrate
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, waterborne pathogens, and quantitative risk assessment. The successful candidate will lead quantitative modeling and data analysis efforts for Legionnaires' disease outbreak investigations and
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developing theory to characterize dynamic processes on networks as complex contagions on higher-order structures (e.g., hypergraphs and simplicial sets). The work will focus on mathematical modeling
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as a model system and developing theory to characterize dynamic processes on networks as complex contagions on higher-order structures (e.g., hypergraphs and simplicial sets). The work will focus on
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and policies regarding postdoctoral scholars at ASU, please see https://academicpersonnel.asu.edu/postdoc . The successful candidate will join a grant-funded project with ASU and Arizona Administrative
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renewal for up to three years, contingent upon satisfactory performance and the availability of funding. For additional information regarding postdoctoral appointments at ASU, please visit https