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, certification, safety assessment, or regulatory compliance activities. The following would be considered assets: Experience with computational fluid dynamics, aerodynamic modelling, flow-field characterization
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a completed Master-equivalent degree in Fluid Mechanics, Engineering, Computer Science, Mathematics, or Physics Solid background in one or more of the following areas: turbulence modelling, CFD
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the Master of Environmental Law and are experiencing disadvantaged circumstances. About the donor Bridie Jean Butterfield was an accomplished lawyer with a deep sense of responsibility to care for our natural
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automated detection models (deep learning and/or classical) for ROI identification from lower resolution or degraded MRI data Develop simulation frameworks to generate realistic low-resolution or motion