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or related techniques, and/or (3) computational biology are encouraged to apply. Lab overview: The communication between cells and their environment depends on decoding of extracellular cues into intracellular
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quantitative analyses (e.g., network and hypergraph models) with qualitative discourse analysis to link community debates to observed behavioral changes. Co-author and present scholarly publications and
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• Proficiency in scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks
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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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of experimental quantum communication hardware development, optical memory qubit characterization, and fiber-based networking demonstrations using novel memory qubits. The goal is to employ the natural telecom
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Communities: Smart Integrative Energy Systems, Smart Mobility, and Transportation Systems. Urban Technology & Infrastructure Systems: Urban Technologies, Urban Analytics, Urban Systematics. Systems Thinking
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through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Urban Resilience Initiative (link is external) (SURI) seeks a Postdoctoral Scholar to join its community. SURI is
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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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to examine the developmental and functional mechanisms of mosaicism in epilepsy. The Farrell Lab is broadly interested in brain network dynamics, in particular, how normal hippocampal oscillations could be
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 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