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models and computational tools to better characterize, understand, and anticipate large-scale complex networks and systems. The Postdoctoral Research Associate will perform basic and applied research
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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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complex contagions on higher-order structures (e.g., hypergraphs and simplicial sets). The work will focus on mathematical modeling with a special focus on network science and complex systems, but a strong
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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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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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Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
corporations – we turn complex, large-scale, and often messy datasets into actionable insights that shape policy, drive accountability, and create real-world impact. We operate with a commitment to evidence
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of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece
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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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complex designs, and conducting big data analyses using advanced statistical models. Experience in the use of various datasets, e.g., TOPMed, UK Biobank, All of Us, and/or digital health data, is also