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workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi-modal data integration using EHR, claims, environmental, and
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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, engagement, and learning. Design and evaluation of AI tutoring agents leveraging high-quality tutoring data (e.g., training tutors directly on tutoring data; exploring a wide range of fine-tuning and
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. Design and evaluation of AI tutoring agents leveraging high-quality tutoring data (e.g., training tutors directly on tutoring data; exploring a wide range of fine-tuning and adaptation strategies
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among yield, water, emissions, biodiversity, etc., (3) create decision-support tools and maps to guide farmers, extension agents, and policy partners, and (4) collaborate on co-production activities with
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maps to guide farmers, extension agents, and policy partners, and (4) collaborate on co-production activities with community and stakeholders. The position includes opportunities to lead and co-author
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maps to guide farmers, extension agents, and policy partners, and (4) collaborate on co-production activities with community and stakeholders. The position includes opportunities to lead and co-author
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maps to guide farmers, extension agents, and policy partners, and (4) collaborate on co-production activities with community and stakeholders. The position includes opportunities to lead and co-author