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Analytics develops X-ray methodologies for understanding structural behaviour in materials science. We focus on the evaluation of the structure – property relationship in applications such as biomedicine and
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. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding structural behaviour in materials science. We focus on the evaluation
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. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance, reliability, and availability of complex industrial systems while making maintenance strategies
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-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials
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. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials science. Our core activities is the
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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(UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and equitable urban energy systems. Our work combines technology and policy with systems thinking
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utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
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. The group Multiomics for Healthcare materials at Empa, St. Gallen generates and integrates multi-modal biomedical datasets with the aim to inform development of new sensors, support nanoparticle-based
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance