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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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architectures for both GenAI (LLMs, diffusion models) and traditional ML models Build and maintain real-time and batch inference pipelines with high availability and fault tolerance Optimize AI workloads
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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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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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foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story
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range of metamaterial concepts. Building on these tools, the researcher will devise structural optimization strategies to tailor the metamaterial architecture for targeted dynamic performance. The most
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at the intersection of optimization, theory, and practical ML Where to apply Website https://career.cispa.de/jobs/postdoctoral-position-in-collaborative-distributed… Requirements Research FieldComputer scienceEducation
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other health care providers to promote continuity of care and optimize patient outcomes. Participates in performance improvement and educational activities as appropriate. Assists in the preparation
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inform patients about treatment options. Coordinate care with various clinical disciplines and external providers to optimize schedules and expedite services. Surgery Scheduling and Advanced Surgery
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: https://www.ubjobs.buffalo.edu/postings/54328 Job Type: Varies Posting Detail Information Position Summary The Department of Surgery within the Jacobs School of Medicine and Biomedical Sciences , State