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these severe limitations, we have recently proposed a novel numerical method following single phase turbulence theory. Similar to single phase turbulence models it allows much coarser gird resolutions resulting
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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
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will be immersed in a unique learning environment at the interface of clinical research, neurocritical care, and data analysis. This three-year fixed-term post as a university assistant (PraeDoc
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