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biostatistics, bioinformatics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required Previous work and
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5217-MAGRIC-001/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Research
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ecological settings at the medical training centre (Hôpitaux de Strasbourg) and/or at patients' homes. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5205-AUDSER-006/Candidater.aspx
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at the reservoir top exceeds the gas-entry pressure of the caprock matrix. In this case, the CO2 penetrates through the caprock via a drainage process (a non-wetting fluid displacing a wetting one). Which scenario
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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