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Field
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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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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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, photonic devices for communications, optical networks, and fiber sensors. SCIENTIFIC CONTEXT Optical fiber forms the backbone of the communication systems. The exponential increase in data traffic is putting
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basic research neurobiology lab at the Free University in Berlin Germany. The main focus of the lab is the study of how genomic information 'unfolds' to develop neural networks with remarkable information
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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to ESA’s strategy; a wide network of relationships and collaboration with top academia, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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provides multiple approaches to this complex history, which is also informed by the diversity of the cultural and linguistic areas under consideration and by the study of the cultural transfers at work
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
thermal properties in ablative and reusable materials. Like many common insulative materials, fibers can be packed to form a porous network that is used in reusable thermal protection, for example on space
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to moral decision-making, develop computational methods for translating complex ethical theories into simple moral heuristics, and contribute to understanding how bounded minds can make good moral decisions
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to articles to be published in international peer-reviewed journals; Assist in the supervision of the project’s PhD candidates in their doctoral research; Develop a network of academic and non-academic partners