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testing in wafer fabrication, packaging, assembly and test Experience in emerging applications of machine learning and data analytics solutions for semiconductor manufacturing Preferred to have a PhD (in
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or machine-learning approaches, data analysis, comparative policy analysis, process tracing, surveys and interviews • Track record of earning research income through competitive grants • Established
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, including path dependency analysis • Good time management skills and ability to multi-task effectively • Advanced knowledge of research methods such as network analysis, text-as-data or machine-learning
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. Experiences in AI and data analysis are essential. Entry Level candidates are welcome if their PhD theses are in the field. Strong background in machine learning, statistics, and computational modeling
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
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duties related to the research program. Job Requirements: A PhD in Computer Science, Quantum Computing, or relevant fields. Strong background in quantum computing and quantum machine learning. Strong
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of high-gain antennas and apply prior-knowledge for machine-learning enabled-synthesis. The applicant will report their research achievements at prestigious journals and conferences. The applicant shall
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powered by AI, Machine Learning and data analytics for applications. Key Responsibilities: Conduct research and development related to AI and Computer Science Collect relevant dataset, and conduct
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applied artificial intelligence for job scheduling and machine control for smart manufacturing as well as publications in top-tier international conferences and journals, as well as real-world
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learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical