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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
twins: a new paradigm in data-based engineering and engineered data. (No. ART-2018-109564). [2] Carlberg, K., Farhat, C., Cortial, J., & Amsallem, D. (2013). The GNAT method for nonlinear model reduction
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within the LTDS's “Geo-materials and Sustainable Construction” team at ENTPE. The PhD candidate wille be part of the research team on the behavior of road, rail, and airport pavement materials and
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? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project is part of the ERC MIRACLE-AD program, which aims to characterize
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three scientific research departments, themselves organized into teams. The PhD will take place more specifically within the MAORE team, whose members use tools from combinatorial optimization, graph
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this project is to investigate the use
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD is part of the Franco-Spanish interregional
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, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 20 days ago
involve either curving straight faced meshes, or the use of some optimization or variational approach. An important aspect is the ability of combining the above techniques with metric based mesh adaptation
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions