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the impact of molecular rearrengements on the performance, shelf lifetime and stability of electronics. Our goal is to define a physical framework capable to predict relevant timescales.The successful
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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
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