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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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Description In collaboration with Chalmers University of Technology (Chalmers), the Technical University of Denmark (DTU) offers a new PhD position, “Scalable LLM-driven Semantic Digital Twins for Building
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
to be analyzed (for example in the IDE via Language Server Protocol). Context Today, static analysis can be integrated into a model-driven engineering (MDE) approach to transform source code into usable
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a tool for mechanistic studies and preclinical therapeutic testing. PhD Project 2. Engineering Multicellular 3D In Vitro Models to Elucidate Bone Regeneration Mechanisms Large bone defects and non
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is characterized by close
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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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that requires tightly integrated approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models, with emphasis
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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for interdependent or co-evolving telecom and urban infrastructures driven by real-world data, surpassing state-of-the-art synthetic models; collecting and integrating diverse datasets, including entity matching; and