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Field
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algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering. Communicate and coordinate experimental results with
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Requisition Id 15434 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory (ORNL) is seeking qualified applicants for a Postdoctoral Research
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analytics. Leveraging expertise in architecture, computer science, and human-centered design, the associate will design and execute experimental and applied research studies. The associate will contribute
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Requisition Id 15435 Overview: We are seeking a Postdoctoral Research Associate, in computational nuclear physics. This position focuses on nuclear theory with an emphasis on fundamental symmetries
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exclusive access to two high-performance computer clusters and additional HPC resources, including high-memory nodes, are available through Northwestern’s Quest cluster (see ciera.northwestern.edu/high
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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
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Requisition Id 15253 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted