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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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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to work on biomass waste
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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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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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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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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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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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: 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
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called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following