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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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://www.ntnu.edu/iv/doctoral-programme Strong background in fundamental or applied fluid mechanics. Programming skills in MATLAB, C, Python, or similar packages. Excellent command of the English language, and
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Description PhD position at IFP Energies nouvelles (IFPEN) in Chemical / Mechanical Engineering of multiphase fluids Scale-up of bioreactors through characterization of gas phase hydrodynamics and Euler-Euler
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are available in the School of Mechanical, Medical and Process Engineering at the Queensland University of Technology (QUT, Brisbane, Australia), related to fluid transport processes in porous media. QUT is a
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resolution. This PhD offers the opportunity to conduct cutting-edge research with direct industrial impact, combining fundamental fluid mechanics with modern data-driven techniques. The successful candidate
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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fluid mechanics in France, and is located in the campus of École Centrale de Lyon (Écully, France) close to the city of Lyon. The intermittent nature of renewable energy sources highlights the need
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to develop strong skills in viscous fluid mechanics, numerical methods and applied mathematics. Start date: October 2026. Duration: 4 years. Education: A strong 4-year degree or MSc degree in Mechanical
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must hold a Masters’ degree in fluid mechanics, physics or applied mathematics and have a good knowledge in fluid dynamics, with an interest in experiments and turbulence. Application process: Applicants