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Field
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develop transformative therapies for glioblastoma (GBM) by understanding the disease on its own biological terms, within the complex context of the human central nervous system. We are entering an exciting
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
inequities, and other complex social problems. His research focuses on youth experiencing homelessness, where he has transformed the field's understanding of how social networks shape health and well-being
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? No Offer Description The researcher will have to carry out theoretical and computational studies aimed at identifying how cells represent their environment in their molecular networks. The work will
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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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vivo two-photon imaging of neural activity dynamics, imaging of neuromodulator releases, optogenetics, computational modeling of complex animal behaviors and neural dynamics, and network simulations
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, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
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and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems, with particular emphasis on smart mobility and urban transportation networks. In particular
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increasing cited as a key requirement to meet net-zero emission goals in 2050 and temperature targets for 2100. Yet, CDR activities span a range of technological and biological systems, including afforestation
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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data