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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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selection process with applications accepted year-round. Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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