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for patients and clinics. We thus aim to develop a minimally invasive, injectable biomaterial platform designed to enable predictable, long-term ocular delivery of biologics while maintaining optical
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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laboratory at Empa. The group focuses on developing novel reactor and process concepts along the value chain of carbon capture and utilization, and on integrating them into a net-zero energy system. The work
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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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plus. You enjoy working with complex, multimodal datasets and developing robust algorithms for continuous monitoring and predictive modelling. You are comfortable combining coding, data analysis, and
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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
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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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teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development
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on materials and device innovation for sustainable energy technologies. PhD Position on All-Solid-State Batteries Your tasks This PhD project aims to develop hydroborate-based all-solid-state batteries. A
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training, exchanges, and career development for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and