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drives, power electronics, electrolysers). Your role As a postdoctoral researcher, you will advance AI-based technologies for modelling, control, and optimisation of next-generation energy conversion
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
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background in mathematics. We particularly value experience in the following topics: vertex operator algebras, infinite dimensional Lie algebras, tensor categories, lattice models of statistical physics
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problems that no single approach could solve alone. Multimodal foundation models Key words: multimodal learning, grounded and human-aligned fine-tuning, test-time adaptation You will join our research team
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-making. Team members bring complementary expertise, and by working together we address novel problems that no single approach could solve alone. Multimodal foundation models Key words: multimodal learning
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large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences
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, programming, Linux, data, and infrastructure perspective: short-term projects helping researchers with specific tasks, so that the researchers gain competence to work independently. Provide good role models
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by integrating computational mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns