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astroplasma simulations to GPU (in CUDA). The specific goals to be pursued within the 2-year time period (until the end of 2026) are rather well-defined by the milestones of the SPACE project, but the candidate
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
environment Access to state-of-the-art tools and computational infrastructure, including CPU/GPU clusters Opportunity to contribute to cutting-edge research in plant evolution and genomics Support
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experience with coding in C++, python/matlab. GPU programming is a definite plus. You have experience in applying deep learning to solve computational imaging problems. Experience with inverse problems such as
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