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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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real-world impact across three of Sweden’s flagship HPC codes: GROMACS (one of the world's most widely used molecular dynamics packages), Neko (a highly scalable CFD framework nominated for the ACM
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cells for vehicle electrification, renewable energy storage, and power grids The group is known for cross-fertilization of electrochemistry, materials, manufacturing, diagnostics, CFD modeling, and system
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CFD and FEM simulations of the coupled flow and structural response Collaborate with senior researchers and industrial partners, including regular meetings and workshops Write technical reports and
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modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling
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within CFD modelling, with a particular focus on the projects MetNH3Energy and ACE Water. You will be involved in both independent and collaborative research activities in Europe in close interaction with
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, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid dynamics (CFD) to support system design and performance optimization
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given to candidates who can start at this time). This position is funded through a project to research on roadway hydraulic structure perform, such as culvert, through computational fluid dynamics (CFD
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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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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools