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and resource allocation • Advancing systems engineering methods for health delivery design, evaluation, and transformation • Designing and implementing agent-based, network, or graph models to study
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systems engineering methods for health delivery design, evaluation, and transformation Designing and implementing agent-based, network, or graph models to study patient flow, care pathways, and population
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for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice • Prior collaboration with city
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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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, United States of America [map ] Subject Areas: Energy Biological Engineering Biotechnology Energy & Environment Sustainability Appl Deadline: (posted 2025/12/16, listed until 2026/06/16) Position Description: Apply Position
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Postdoctoral Associate - Sustainable Energy and Synthetic Biology The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest
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demography, with over 200 affiliated faculty, graduate students, and postdocs. See http://www.cpc.cornell.edu/ for more information about CPC. Applicants must have completed a Ph.D. in demography, economics
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researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber-Human-Physical Systems, it tackles issues like
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. The Postdoctoral Associate will also help to build and sustain the Lab of Labs, a collaborative and dynamic network of researchers in purpose science across institutions who desire meaningful opportunities to engage
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. Receiving mentorship in grant writing and navigating the publication process. Participating in career development activities through Cornell's mentoring resources and professional network. Overall