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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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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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how networks support cognition is one of the most exciting challenges in clinical neuroscience. For complex conditions such as multiple sclerosis and autism spectrum disorder, progress has been slowed
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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
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, reliability, and availability of complex industrial systems while making maintenance strategies more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance
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of buildings. This presents many opportunities, but also requires careful planning and operation to deal with emerging challenges such as network congestion. Recently, positive energy districts (PEDs), i.e
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expertise in theory-driven 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
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of neuronal networks and how this translates into specific behaviors in healthy and pathological conditions. To achieve these objectives, SPPIN adopts a multidisciplinary approach combining optical microscopy
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a transitional trait that can act as a “safety net” between hybrid formation and genomic stabilisation. The evolutionary implications of apomixis remain unresolved despite its widespread occurrence
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) in the EU training network EXPLORA EXPLORA is a Marie Skłodowska-Curie doctoral network funded by the HORIZON 2020 framework. It will start on 1 February 2026, and within this network we have two