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the interactions among urban infrastructure and environment networks. This opportunity will have the ability to develop complex systems analytics models, optimization methods, and computational tools for real-world
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, Optimization, and AI • ML/AI for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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. The successful candidate will apply environmental association mapping and expression profiling across grasses and maize landraces to identify key genes and regulatory networks. These insights will then be
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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-soil-microbe interactions. The successful candidate will apply environmental association mapping and expression profiling across grasses and maize landraces to identify key genes and regulatory networks
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structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and professional visibility, and offer mentorship in scientific writing, manuscript
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to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and