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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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), renewable for 4 years. Informations Only applications submitted through the online platform are considered: https://careers.epfl.ch/job/Lausanne-PhD-positions-Experimental-unsteady-fluid-and-vortex-dynamics
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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
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have the following main duties and responsibilities: Develop computational fluid dynamics models for steady state and transient analyses in both conventional light water reactors and advanced next
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United Kingdom Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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of sustainable power production and propulsion systems through your expertise in Computational Fluid Dynamics (CFD). Detailed description of work duties Developing Advanced CFD Models: You will be primarily
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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tasks Basic understanding of structural mechanics, aerodynamics, fluid mechanics, and flight dynamics and control. Aptitude for mechanical and electrical systems Skills in parametric CAD modeling
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chemistry and complex fluids, such as blood plasma, cell culture media, or lung lining fluids. The researcher will characterise the nanomaterials in complex media with multiple techniques, such as dynamic