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-leading groups in this field. The interdisciplinary research carried out in the group ranges from fundamental work in physical acoustics and fluid dynamics to the applications in biomedicine. The group
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Computational Fluid Dynamics (CFD) solvers into Python-based AI frameworks (e.g., PyTorch, JAX) to enable high-efficiency, scalable simulations of aerosol transport systems. The developed model will incorporate
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fluid dynamics and dynamic thermal modelling to study how physical parameters and microclimate of the playground impact on children’s thermal comfort and to evaluate the potential impact of different
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the Fluid and Surface Group within FLOW. This position offers an exciting opportunity for a highly motivated candidate to contribute to a cutting-edge research program. The project, funded by
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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in hemodialysis patients. Your work will involve: Developing in silico models using computational fluid dynamics combined with macroscopic thrombus formation modelling. Creating in vitro microfluidic
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are: astrodynamics and mission analysis, remote sensing, space systems engineering, computational intelligence, hypersonics and computational fluid dynamics, theoretical aeroscience, aerospace propulsion, aerospace
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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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. in Aerospace Engineering, or a related area of study; extensive experience in high-fidelity computational fluid dynamics using supercomputers with system identification, reduced order modeling and
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Anthony Falls Laboratory is a globally recognized hub for pioneering research in experimental and computational fluid mechanics, hydrology, and earth-surface dynamics. For over 80 years, our innovative and