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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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of the Universitat Politècnica de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research: R&D line: Data-driven network modeling and optimization https
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engineeringEngineering » Mechanical engineering Additional Information Benefits Gain hands-on experience with cutting-edge computational mechanics, AI-driven design, and fracture mechanics. Work on high-impact aerospace
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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Associate Professor of Data-Driven Material Modeling (salary group W2
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support research activities in power system resilience optimization and asset health modelling. The role focuses on developing data-driven and physics-informed analytical models to enhance reliability, risk
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | 16 days ago
science, this approach will deliver tools for data-driven, sustainable composite design and inform industry decision-making on a global scale. Parametric modelling with 3D CAD tools and programming
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of electrochemical effects into numerical and theoretical models describing the flows within LMBs. These flows, driven by magnetohydrodynamic or thermal phenomena, can become unstable and lead to a short circuit of
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technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial