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and conferences, and contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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column. This parallel study will allow to integrate short-term, ecological observations on the climate-driven Rhizarian response, as well as related oceanographic processes, including productivity and
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vocal processes depend on auditory-guided motor learning during a sensitive period of development, and exhibit many parallels at the behavioural, neural, and genetic levels. Their acquisition and
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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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(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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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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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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other labs will be developed for comparison with other techniques and computer IRIS Lab for analyses of the 3D mapping by IA models References [1] A. Kiełbasa, K. Kowalczyk, K. Chajec-Gierczak, J. Bała
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization