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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
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distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
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thermal energy storage systems based on Phase Change Materials (PCMs). The project relies on a unique high-temperature experimental facility developed during the PhD project INNO-REV and currently in its
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must have a PhD in Mechanical Engineering, Biomedical Engineering, or a closely related field. This position is on campus, in person. The Division of Applied Biomedical Engineering consists of 5 faculty
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first degree in Mechanical Engineering or General Engineering. A PhD (or be close to submission) in Mechanical Engineering or General Engineering. Experience Experience in conducting high quality academic
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research activities including laboratory experiments, numerical modelling (FEM/CFD), and development of AI models to optimise drilling processes. Translate research into outcomes by building prototypes