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for mathematics of complex networks. You will greatly benefit from the many workshops on networks and random graphs at the Eurandom conference center based at the Department of Mathematics and Computer
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, greatly facilitating quantitative description of their complex behaviour. The research efforts can be split into designing algorithms for network reconstruction from microscopy images, and analysis
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EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance Department of Civil and Structural Engineering PhD Research Project
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such. Through this PhD opportunity researchers will take the opportunity to engage with companies in our network and beyond to better understand where the knowledge and practice gap is and from
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very strongly dependent on the quality of the mesh. At the same time, the meshing process itself is complex and often involves considerable human time and expertise to accomplish. Automated meshing
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Non-terrestrial networks(NTN) are expected to be the key component of future 6G systems. In NTN networks, low Earth orbit satellites, drones, and high-altitude platforms will take the role of space
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complexity theory uses logics to obtain machine independent characterisations of complexity classes, and logics like linear temporal logic are used in program verification to specify desired properties of runs
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stimulation paradigms, the nature of the stimulus plays a crucial role in determining the types and localisation of neural networks activated. The complexity of the stimulus, whether passive or active and the
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and control of complex networks. According to the Shanghai Academic Ranking of World Universities (ARWU) 2023, Automation and Control Engineering at the University of Groningen is ranked 3rd in Europe
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of academic staff, PhD students and postdocs of the Network Architectures and Services Group . We share a drive to understand the characteristics of and processes running on complex networks, ranging from man