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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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of the Marie Curie Doctoral Networks "FINALITY", will be hosted at TU Delft, Department of Computer Science, and will be co-supervised by Prof. George Iosifidis (TU Delft) and Prof. Constantine Dovrolis
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emerging and traditional donors, identifying patterns of convergence, divergence, and new coalitions in a multipolar development landscape. The PhD candidate will contribute to this research with a preferred
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-sectional and longitudinal data, including Dutch and Finnish register micro-data, to analyse access to differing housing conditions as well as how exposure to these relate to socio-economic and life-course
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complex international supply chains where many business partners are located outside of the EU. This PhD research will explore how authorities can build upon these embedded controls by businesses
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analytics methods for the study of historical paintings in an interdisciplinary research environment. You will contribute to the development of state‑of‑the‑art methods that advance the analysis of complex
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can selectively remove PFAS and other OMPs from such complex concentrates, and are potentially more effective than conventional activated carbon for PFAS removal when applied to concentrated waste
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capability to visualize local material properties inside complex microstructures. You will be part of the Optics for Nanoscale Metrology team, in the Optics cluster of the department of Imaging Physics at TU
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these new noise sources, influenced by complex building structures and in the presence of other noise sources, is limited, and scientific studies to understand the impact on people are therefore needed