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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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Researcher (R2) Country Belgium Application Deadline 16 Jun 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme
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to identify requirements and validate solutions Your profile Education: MSc degree or equivalent in Computer Science or Engineering Experience: The ideal candidate should have some knowledge and/or experience