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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study
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aerodynamic methods and tools of turbomachinery design is therefore required, which in turn includes design and optimization in 1D, 2D, 2D Blade-to-Blade as well as 3D computational fluid dynamics (CFD) methods
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ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
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will be carried out using OpenFOAM, an open-source CFD software with turbulence, bi-fluid, and non-Newtonian modeling capabilities. Alternative equivalent software known to the candidate may also be used
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for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems”. The project aims to develop a multiscale modeling framework that combines computational fluid dynamics (CFD), electrochemical
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in HYTEC or TEPE with experience in CFD modelling, is open for appointment from 1. December 2025 or soon hereafter
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models in a well-established industrial CFD solver. You will be responsible for liaising with our sponsor and for disseminating the results of your work. About you You should be in possession or be near
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models in a well-established industrial CFD solver. You will be responsible for liaising with our sponsor and for disseminating the results of your work. About you You should be in possession or be near
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within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite elements methods Modern machine learning
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communication skills through publications in archival and conference presentations. Desired Experience: Professional expertise with a focus on applying advanced CFD and post-process tools to the fields