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to develop atomic-scale modeling tools to analyze solid-liquid interface properties in aluminum alloys, with a focus on impurity effects. The overarching goal is to enhance alloy robustness and provide
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of cardiovascular surgery. These applications, linked to high-performance active implants, will help pave new paths in the realm of industrial biotechnology. In this study, the candidate will develop additive
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develop AI-based model for defect identification in composite materials, from ultrasonic and XCT inspection data. In detail, the main research tasks include: Collection of US and XCT data (assisted by
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