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PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in a constant-volume combustion chamber (CVCC
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such as XBeach, SWASH, Watlab or CFD modeling is an asset Programming skills (Python, C++, MATLAB, or Fortran) are required Excellent analytical and problem-solving abilities along with a good team-spirit
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the project Aeroacoustics and hydrodynamics of chimney-type musical instruments, within the Computational Fluid Mechanics line of research. Where to apply Website https://oficinavirtual.uca.es
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. We are expanding our team with ambitious, driven, creative problem solvers and doers who are excited about tackling a challenge and delivering a new product to market. As a CFD Engineer, you will
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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, optimising these and various process conditions to enhance the overall performance of the gas turbine employing specific indicators. Used with a complementary CFD modelling approach, the research will define
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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of gas emissions. This will involve leveraging advanced gas transport models, including advection-diffusion equations, computational fluid dynamics (CFD), and Navier-Stokes equations, to provide deeper
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research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction