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templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q
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Behavioral Algorithms of Pursuit Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is
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the economic benefits for individuals and communities when interacting with the energy markets. AUTONOMY will pioneer a novel transfer learning approach to exchange expert knowledge amongst energy manager agents
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for other critical illnesses including trauma, neurologic emergencies, sepsis, acute respiratory distress syndrome and heart failure. This is a 2-year position with an option to extend based on performance
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific workflows targeting NERSC HPC resources, edge
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for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q, to enable
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
-
interacting with the energy markets. AUTONOMY will pioneer a novel transfer learning approach to exchange expert knowledge amongst energy manager agents in different communities across the grid, as part of a
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to coordinate multiple specialized models (core LLMs, retrieval models, pedagogical agents, UX evaluators) in a distributed architecture. Decomposition and Chaining of Pedagogical Tasks:Design computational