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Field
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systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline
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l'ENS, within a research environment specialized in soft matter, statistical physics, and fluid dynamics. The project will rely primarily on large-scale molecular dynamics simulations and theoretical
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systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline
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Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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organization in the field of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery
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months experience in their position. Where to apply Website https://www.academictransfer.com/en/jobs/360321/pd-in-printing-of-complex-fluid… Requirements Specific Requirements You have a passion for
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of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery. The thematic orientation
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friction within connected fault networks is essential for analyzing the dynamics of induced earthquakes—particularly larger-magnitude events—and their effects on subsurface fluid circulation. Project
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/Qualifications Strong knowledge of mathematical modeling and numerical methods Experience in computational fluid dynamics and pipeline transport modeling Proficiency in programming and scientific computing (e.g
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, substantially equivalent knowledge Background in fluid dynamics is a merit Experience in computational fluid dynamics is a merit In addition to the above, there is also a mandatory requirement for English