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societal challenges, local decisionmakers, such as municipalities and project developers, need to deal with making implementation decisions in their daily activities as asset manager, investor, construction
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scientifically through collaboration with researchers from Radboud University, University of Groningen, and Utrecht University of Applied Sciences, supervisors from the Construction Management and Engineering
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materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency
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project developers, need to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be
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Utrecht University of Applied Sciences, supervisors from the Construction Management and Engineering cluster at the University of Twente, and a strong network of leading infrastructure providers in
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. The focus will be on designing reproducible techniques for identifying dependency structures, validating these methods through large-scale experimentation, and evaluating how well DNS configurations align
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structures. Other aspects of the research include a numerical framework for the sensitivity analysis to facilitate design optimization and experimental system identification. Information and application
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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principles with micromachined mechanical sensors that measure the flow through the bending or displacement of a mechanical structure. In this way, we expect that, in addition to mass flow, many relevant gas
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public organisations operate and coordinate themselves and their relations with private parties in the construction industry. This PhD project aims to experiment with unique shared service centres