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profile, then don’t hesitate to apply. Responsibilities and qualifications Tasks and responsibility include Optimization of safe microorganisms to produce selected essential amino acids Genetic and
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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
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ongoing experiments and projects, ensuring reliable operation of attosecond and ultrafast laser systems and timely completion of milestones. Knowledge Curation and Transfer: Maintain and document technical
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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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, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems, Optimization, and AI • ML/AI
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potentially involving techno-economic analysis and AI-driven models for optimizing design and operation. Activities within project management and co-supervision of graduate students are also foreseen
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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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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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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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material quality. The resulting models will act as a predictive tool for process optimization and design improvements, providing a foundation for scalable industrial applications. Job Description: The