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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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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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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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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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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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norms in dispersive equations coming from fluids, modulational and orbital instability in fluids equations Where to apply Website https://pica.cineca.it/sissa/cdr-fe-mate-01-2026 Requirements Additional