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Networks. Preferred Qualifications: ● Experience in quantum network experiments/devices. ● Experience in writing research proposals. ● Experience in supervising/guiding PhD and/or MS students
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(BCDI), Laue microdiffraction, ptychographic laminography, and X-ray photon correlation spectroscopy (XPCS) to study strain, dislocation networks, voids, and interfacial morphology. Develop in-situ and
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
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 operate with
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Networks. Preferred Qualifications: ● Experience in quantum network experiments/devices. ● Experience in writing research proposals. ● Experience in supervising/guiding PhD and/or MS students
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 5 hours ago
institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal — helping first-generation and lower-income students find paths
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-informed AI framework that decodes the complex relationships between material defects, functional fields (e.g., strain, electrostatic potential), and device performance, with a primary focus on leveraging
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
complexes, networks and regulators implicated in diseases using a combined approach of biochemistry, proteomics and cell biology, while being a contributor to advancing research projects supported by NIH and
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mathematical foundations of emerging digital twin frameworks, and the theoretical aspects of ML. Research & Algorithm Development: Develop advanced algorithms to predict complex health trajectories, simulating
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tailored for operations research problems. This role focuses on making significant contributions to understanding optimization and simulation models, particularly in scheduling, routing, and network flow