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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
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signaling cascades that are integrated through dynamic and context-specific networks driving the cellular responses. Given the complexity and dynamic state of signaling networks, the current understanding
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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of Sociology at Duke University invites applicants for a Postdoctoral Associate with expertise in economic sociology, immmigration, organizations, network analysis, or inequality broadly defined. In
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Associate. The research of the Shi Lab focuses on the epigenetic mechanisms that regulate embryonic heart development, with a particular emphasis on chromatin remodeling complexes (Robbe and Shi, et al
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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working to tackle one of the major global challenges of this century: ensuring that our communities–increasingly urban, complex, and interconnected–cope with and even thrive in the face of natural perils
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
regions to local communities and corporations – we turn complex, large-scale, and often messy datasets into actionable insights that shape policy, drive accountability, and create real-world impact. We