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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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details, the following tasks will be carried out in parallel: 1. The PhD student will extend the current database (see, J. Chem. Theory Comput.2025, 21, 8010−8033) by obtaining highly-accurate reference
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(synchrotron-based), fluid inclusion analysis (FIA), Raman spectroscopy, ICP-MS, and isotope geochemistry. The results of this work, combined with those of parallel studies carried out within the GEOTHERBAMINE
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setup will allow the exploration of global flow structures, large-scale recirculation, and the transition to the fully heterogeneous regime under realistic industrial conditions. In parallel, smaller
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introduced to the classic AFM mode of imaging in air and liquids and then he/she will work on the polymer brushes in liquid. In parallel, knowledges on the mechanical and chemical forces involved in
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
efficient parallelism for (1) high-order quadrature rules, and (2) HDG dense-matrix operations. - With the help of the developer's team, propagate the key-finding into the main app Hawen. We envision
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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parallel, questionnaires addressed to farmers will also be used to further assess the risk of contacts at the interface. Finally, the circulation of shared pathogens in both wild boar and domestic pigs will
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and