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Field
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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) on Population-Scale Social Network Analysis in the context of the Urban Impact Lab and PLANET-NL. The Urban Impact Lab is a new collaboration between the City of Amsterdam and the Faculty of Social and
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environmental buffering, biodiversity and social benefits. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities respond to environmental stress and how people
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pollution, support biodiversity and deliver social value. Yet these trade-offs remain poorly quantified in complex urban landscapes. This PhD will investigate how urban blue networks can be optimised for both
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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, Poor and Verdù in the analysis of finite-length channel coding rates [3], Yang, Schaefer and Poor [4] proved tight bounds on the second-order coding rate for discrete memoryless and Gaussian wiretap
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific expertise in
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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Psychology, an intra-university research institute at the University of Tübingen that investigates individual, social, and institutional determinants of learning and educational processes. We employ a wide