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developing discrete element models (DEM) or hybrid models, such as DEM-CFD or DEM-SPH, is essential. For this position, a doctoral degree in a relevant discipline is required, although candidates nearing
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particle lifetime. You will combine experiments and simulations (CFD-DEM, population balance modeling) to study breakage behavior, supported by mechanical testing and in-situ micro-computed tomography (µCT
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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employment decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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, applied mathematics, or a closely related field. Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming
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modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent research and publish in peer-reviewed journals Strong written and
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methods based on discrete element modelling (DEM) provide accurate access to particle trajectories and velocities, their use requires significant computing time, which makes their direct deployment
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of numerical models (CFD) for the analysis and understanding of the behavior of the solution to be developed. Objectives:1. Designing a base design for incorporating a modular battery, 2. Develop and calibrate a