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-PDF), data analysis and modelling for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through
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optimization of community PV systems, e-mobility, and edge data center integration at the Swiss pilot site hosted at Empa’s NEST demonstrator. The role involves coordinating the deployment and validation
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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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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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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