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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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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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15 Nov 2025 Job Information Organisation/Company Empa Research Field Engineering » Chemical engineering Engineering » Materials engineering Engineering » Mechanical engineering Researcher Profile
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Bern and Zurich to develop multi-compartments OOC systems integrating blood and lymphatic vasculature with key mechanical cues of the lung microenvironment Characterization: Design chips based
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co-supervision of student projects) Profile A master's degree in engineering, environmental sciences, or physics. Strong interest in experimental fluid mechanics. Experience with experimental (fluid
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24 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Engineering » Other Technology » Energy