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infrastructure, making our environment highly heterogeneous. This means we get to work with a range of hardware, including the latest GPUs (e.g., B200, RTX 6000 Blackwell Pro, H200) and CPU architectures
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written communication skills Experience with GPU training and handling large medical datasets e.g., large magnetic resonance (neuro)imaging datasets. Basic understanding of radiology clinical workflows and
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-performance computing, GPU acceleration, automated benchmarking or large-scale numerical workflows. 4. Evidence of self-motivated contributing to collaborative research outputs, open-source software, preprints
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