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researcher, you will help us design and run research line involving collaboration with PhD and MSc students. You will develop novel data-driven and physics-based modeling techniques, conduct and analyze
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efficiently work in a highly multidisciplinary team. You have a strong background in linear and tensor algebra, non-linear mechanics, advanced finite element analysis, computational solid mechanics
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magnitude. The PhD will be mostly located at TU Delft, and operate both in the InSAR research team as well as in the data assimilation team of TU Delft. In this collaborative project, the University
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to the lab’s research topics; A background in applied mathematics, particularly, linear algebra and probability; A solid understanding of statistical signal processing and distributed optimization; An experience
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the dynamics of the topology as practical graphs change over time. In this PhD project, we are looking for a candidate to work on one of the following fundamental areas: Physic-informed graph neural networks
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algebra, non-linear mechanics, advanced finite element analysis, computational solid mechanics, high-performance computing, data-driven approaches, and physics-informed machine learning. You have excellent
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grid and market operators, technology providers and research centres to create a concept of Pan-European digital twin based on the federation of local digital twins and enable a reliable, resilient, and