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computing, and synchrotron-radiation experiments. The goal is to explore physics-informed self-supervised learning approaches (e.g., deep image priors, GANs) and iterative methods, combined with multi-scale
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at synchrotrons Background in metallurgy and metallic materials manufacturing methods Experience with metallographic specimen preparation and electron microscopy Experience with computational modelling, either
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2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job
Searches related to parallel computing numerical methods
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