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adaptive cybersecurity solutions for shared social and economic systems. The successful researcher will apply expertise in programmable networking, network traffic analysis, and machine-learning
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. Concretely, the project will develop a governance framework and typology of procurement mechanisms as instruments for learning and experimentation. It may combine comparative case studies, network analysis
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, or chaotic neural networks. Experience with network dynamics. Experience with time-series analysis. Experience with stochastic processes. Experience with computational modeling of biological systems
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interest in, institutional ethnography, document analysis and co-design with civil society and oversight actors. Professional working proficiency in English, spoken and written. Non-native speakers are very
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network analysis), risk and reliability analysis, and/or network optimization, alongside mentoring Ph.D. and Master’s students in computational infrastructure research. Additionally, the candidate will
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microscopy, in order to identify differences in bone tissue architecture, osteocyte network organization, and skeletal development processes. Particular attention will also be devoted to characterizing
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, document analysis or other suitable methods. It may also contribute insights or practical approaches to the REGULAIRE Observatory. Within the network, the project contributes to Work Package 5 by examining
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physics, network science, multiscale systems, and modeling of complex phenomena. Computational modeling and simulation: reduced-order modeling, simulation, data assimilation, digital twins, and
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a competition to fill one position of Scientific Research Assistant (ACS), intended for a postdoctoral researcher, within the project “Mental health in a fast-paced society: A multilevel approach
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competition to fill one position of Scientific Research Assistant (ACS), intended for a PhD student, within the project “Mental health in a fast-paced society: A multilevel approach, from genes and molecules