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Field
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization
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(SSC), the work focusses on: Exploring and designing new concepts for spot size converters (SSCs) on our Indium Phosphide (InP) Photonic integration platform Developing and optimizing a manufacturing
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1 Aug 2026 Job Information Organisation/Company CNRS Department Institut de recherche sur les céramiques Research Field Mathematics History » History of science Researcher Profile First Stage
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
of existing approaches. The existing detection criteria target changes of elastic stability, which can be computed either by using the optimal control theory or analyzing the Hessian matrix of the robot
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. This interdisciplinary approach relies on the complementary expertise of S. Giordano (IEMN), who will develop a multiscale mathematical model of the multicellular system, and F. Anquez (PhLAM), who will lead the imaging
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brings together expertise in energy informatics, optimization, data science, social sciences, and governance to develop trusted data-sharing solutions for the heat transition. Within the project, you will
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, machine learning, computer science, mathematics, physics, engineering, cybernetics, economics, data science, or a related field. Foreign degrees must correspond with the admission criteria for the PhD
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emphasis will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi