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principles (k-space, pulse sequences, image reconstruction) Prior experience with MRI data analysis or medical image processing Familiarity with deep learning for image segmentation or detection tasks
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sufficiently fine numerical grids to resolve all relevant heterogeneous structures such as bubbles which requires excessive computational resources to research industrial scale processes. To overcome
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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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