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computational model to capture the complex transport of gases, liquids, and charges in these porous structures, including the complex interfaces between them. Insights from the model will directly guide the
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fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems
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of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its
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affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from
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centers. With these controlled systems of coupled spins, we aim to answer questions such as: How does decoherence emerge in complex quantum systems? Can we emulate and study complex many-body physics? Can
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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position in AI for Network Analysis, starting as early as November 1, 2025. We are looking for a motivated and talented early-career researcher with a strong interest in social network analysis, complex
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emphasize technology as a solution for journalism’s struggles. In doing so, they have also limited the directions in which journalism could actually develop, and elided critical reflections on the complex
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time, infrastructure networks reach capacity thresholds. Extending and upgrading infrastructure is challenging and limited not only because of long infrastructure lifetimes coupled with high investment
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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our