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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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planning, specialty collaboration, and ongoing health monitoring to support optimal health outcomes and longevity. The Nurse Care Manager acts as the primary clinical point of contact for members, ensuring
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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(CI) to design, build, and optimize high impact computational tools, algorithms, and analytical workflows that power innovative research in medicine. You’ll manage and analyze large datasets and
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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products. This role owns the strategy, execution, and optimization of digital, email, and social marketing campaigns, using customer insights, CRM data, and performance analytics to inform decision‑making
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performing ongoing reassessment to ensure optimal outcomes. This role delivers both individual and group education to patients, families, and caregivers, supporting understanding of nutrition-related needs and
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digital de señal y lógica de control en tiempo real. - Optimización de uso de recursos, consumo energético y rendimiento temporal (timing closure. Implementation and optimization of hardware logic using
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services inherent to the deployed technology, should be considered in a holistic approach. While optimization methods have been applied at various scales, they often overlook system dynamics, demand
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optimization-based network partitioning point to scalable, communication-aware control designs; stochastic MPC and co-design studies demonstrate methods for handling uncertainty and jointly optimizing assets and