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/), sharing ion-trap-based quantum networking nodes across teams to accelerate the integration of heterogeneous qubit platforms into a distributed quantum network We're here for the same mission, to bring
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the distributed hydrologic model ATS (The Advanced Terrestrial Simulator), coupled to a trait-based plant-soil-microbe model (ATS-EcoSIM). The code provides a framework for three-dimensional hydrologic
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develop and become more severe, and as they improve with treatment conditions. These studies aim to provide the rationale for development of neuromodulatory approaches designed to reshape network activity
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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that enhance the reliability, efficiency, and resilience of electric power distribution networks. Required Minimum Qualifications : PhD in Electrical Engineering Preferred Qualifications: Demonstrated research
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systems, predictive modeling, or optimization problems related to packaging or mechanical systems. • Background in logistics optimization, supply chain modeling, or distribution network analysis
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its Career Center, Teaching Center, and Office of Postdoctoral Affairs. As part of our vibrant scientific community, you will have access to state-of-the-art facilities and a network of
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single node between multiple secure workloads. Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks. Design and evaluate key distribution and management
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such as transformers, self-supervised learning, multimodal learning, generative models, graph neural networks, or foundation models. Experience with structural and/or functional brain modeling. Familiarity