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vision published by IMT-2030 6G framework puts a special emphasis on network resilience. While reliability guarantees consistent network performance, on the other hand, resiliency refers to the network’s
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complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project takes a fundamentally new approach: embedding animal models in a translational framework that connects
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Position Description Introduction Are you interested in developing novel statistical methods for relevant problems with complex, high-dimensional and network-structured data? Do you want to contribute
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working on interdisciplinary research problems at the intersection of mathematics, theoretical computer science and quantum information theory? Are you interested in algebraic complexity theory, fast matrix
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and recent evolutionary genetic discoveries, utilizing large-scale bioinformatic databases and resources. Background: The human brain is a highly complex network of interconnected regions—the connectome
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create sacrificial templates consisting of complex networks of fibers with circular cross sections and diameters from tens to hundreds of microns. These fiber templates can be embedded in hydrogel
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complexity theory, fast matrix multiplication algorithms, the geometry and representation theory of tensors, asymptotic spectrum duality, and applications? The research group of Jeroen Zuiddam at University
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This four year fully funded PhD project investigates how complex temporalities of migration in urban contexts interact with migration and inclusion policies. As cities like Rotterdam and Bilbao exhibit varied
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translational relevance. This PhD position is part of a Marie Skłodowska-Curie Doctoral Network (Horizon Europe). As a MSCA Doctoral Candidate, you will join a cohort of early-stage researchers across several
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Are you passionate about working in an interdisciplinary and international team to explore the interface between computational models, complexity science, network science, and public health