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We are hiring a postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed
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for high-impact, multidisciplinary research. Position Description We invite applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC
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concretes based on CO₂-sequestered magnesium silicates. The research will combine experimental investigations with numerical modeling to understand hydration, microstructure formation. In addition
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focused on modeling multidirectional loading in anchors for floating offshore wind turbines. The role is part of the European project TAILWIND (tailwind-project.eu) and aims to integrate experimental data
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models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is useful for research, education, and industrial use. Your research will be published
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suggested patches, easier to understand using interpretable AI using state machine models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is
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), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies
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to the design, testing, and evaluation of next-generation sustainable concretes based on CO₂-sequestered magnesium silicates. The research will combine experimental investigations with numerical modeling
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systems to match supply with fluctuating demand. Similarly, in inventory management, determining replenishment and allocation strategies under demand uncertainty is central to ensuring both efficiency and
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performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation