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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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(e.g., mathematics, physics or computational social science), with a strong track record in network science (or complex networks / social network analysis); Excellent writing skills and proficiency
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
and aerodynamics through the use of comprehensive analysis, high-order computational fluid dynamics (CFD), and direct numerical simulation (DNS) tools. The postdoctoral researcher will work with CAMRAD
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acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion
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on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
development, international networking, and interdisciplinary collaboration. The Max Planck Society is mainly funded by the German Federal and State Governments. The Max Planck Society is committed
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neural networks, transformer architectures, diffusion models, foundation models for biology and medicine, and agentic AI workflows such as autonomous analysis agents. In close collaboration with clinical
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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the direct incorporation of physical laws or constraints into the neural network training process. To achieve our goal, we will conduct analysis of several surface water management scenarios in different
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of the platform. In particular, the researcher will design and implement mechanisms for the measurement and analysis of network performance across heterogeneous wireless infrastructures, enabling benchmarking