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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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methods. Familiarity with open-source solvers such as OpenFOAM is desirable. The PhD student will interact with researchers in several laboratories: in Germany (Department of Mechanical Engineering, TU
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EPSRC ReNU+ CDT PhD Studentship: Representative Elementary Volume fluid dynamic modelling for sedimentary geothermal production Award Summary 100% fees covered, and a minimum tax-free annual living
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20 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Physical chemistry Engineering » Chemical engineering Engineering » Mechanical engineering Physics
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, the PhD fellows will explore various aspects of mechanical and chemical engineering, from snow science, fluid mechanics and biophysics to bioengineering and multiphysics modeling. The list of PhD projects
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of two-dimensional quantum fluids such as superfluid helium and Bose–Einstein condensates. This PhD forms part of an international research project in collaboration with theoreticians at the University
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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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EPSRC ReNU+ CDT PhD Studentship: Physics-informed machine learning for deep geothermal systems under uncertainty. Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 31 Aug 2026 - 16:07 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more