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. Research within LIG is organized into 5 focus areas: Intelligent Systems for Bridging Data, Knowledge and Humans, Software and Information System Engineering, Formal Methods, Models, and Languages
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challenge will be to formalize the type of dependency between subsystem characterizations that can be included in the analysis and synthesis (estimation filter) methods, while preserving the convex character
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translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page . Your role We are looking for a highly motivated PhD candidate interested in AI-based methods
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expertise. Your Responsibilities: Conduct research in the field of Multiscale Computational Methods for novel metamaterials as described above Develop theories, methods and computational tools Participate in
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under
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opportunities of spatial hot-electron engineering across top-down and bottom-up methods. Moreover, the plasmon-assisted photopolymerization and photocurrent measurements will be performed in collaboration with
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for deeper biological penetration and long-term persistence. While current analysis methods are effective for detecting particles larger than 3 µm, the identification and quantification of nanoplastics remain