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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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microscopes, and the unique Aurora robotic battery materials research platform equipped with more than 1500 battery cycling channels and automated workflow and data management capabilities. Empa is committed
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the possible effects on transition pathways Contribute to the collection, updating, and consolidation of data required to assess the secondary raw materials potential and characterize stocks and flows e.g
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. Historical data in the Empa's NEST demonstrator and its multi-energy back-bone will be utilized to design multi-energy districts. The candidate shall translate his/her research ideas to tackle these challenges
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field with a strong experimental background in frequency-locked lasers or optoelectronics. Experience with dual-comb laser spectroscopy is advantageous. Hands-on experience with data acquisition and