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Field
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to contribute to a collaborative, interdisciplinary research environment Are eager to learn and explore new ideas at the intersection of ML and optimization Can program efficiently in one or more languages
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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into a particle accelerator. Tasks: We search for candidates with interest in new AMS measurement strategies; this includes: optimization of the ion-laser interaction for accelerator mass spectrometry
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, before the particles are injected into a particle accelerator. Tasks: We search for candidates with interest in new AMS measurement strategies; this includes: optimization of the ion-laser interaction