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you academically in the long run. Anticipated Division of Time 50%: Conduct primary research project. This includes engaging in fieldwork, conducting interviews, coding data, writing, and giving talks
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; and reproducible code or analytical workflows. The postdoctoral associate will also lead or contribute substantially to peer-reviewed manuscripts, presentations, and practical recommendations
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for transportation prediction, system optimization, and environmental/health impact modeling Deployment of decision-support tools for public-sector clients (municipalities, MPOs, DOTs) Urban mobility, equity
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communities using model and non-model organisms. The individual is required to use tools in chemical ecology, genomics, molecular biology, and AI-driven predictive modeling in the research project. Specific
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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. Desired Qualifications: Experience developing reproducible workflows (e.g., coding scripts compatible with the program R). Experience related to using participatory science and/or opportunistic data sources
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. Desired Qualifications: Experience developing reproducible workflows (e.g., coding scripts compatible with the program R). Experience related to using participatory science and/or opportunistic data sources