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PhD projects (nrs 10 and 13) 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
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Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside
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resilience through responsible risk management. Research areas include critical infrastructure protection, systems resilience, crisis governance, uncertainty in complex systems, and the interface between
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, uncertainty in complex systems, and the interface between technology and human organisations. You’ll engage with an interdisciplinary community that bridges engineering, behavioural science and policy to co
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identity, behavior, and trajectory. You will extend these models to understand how genetic risk factors alter cell–cell communication networks. Spatial transcriptomics datasets will be used to anchor
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function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics – particularly statistical mechanics
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of infrastructure networks, which remain fragmented and hinder the coordination needed to address cross-sectoral implications of demand changes (e.g., modal shifts, the use of home batteries). At the same time
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tiered approach adding realism and complexity into the testing: from standard OECD lab tests to disentanglement of mechanisms of toxicity including biotransformation and degradation of nanomedicines
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex
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, regulatory, and clinical stakeholders within the EU PE & PV Research Network present findings at international conferences and lead the development of peer-reviewed publications; teach (~10% of your work time