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computational fluid dynamics (CFD) simulations of blood flow through arteries and develop a cutting-edge super-resolution framework using convolutional neural networks (CNNs). The ultimate goal is to vastly
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method