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, efficient and context-aware, creating the foundations for the next generation of wearable and augmented reality platforms. The research focuses on developing novel ML methods that learn from limited resources
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Science group. Gain access to a wide range of experimental and analytical facilities, including high-performance computing resources, and mechanical and electronic workshops. Have the opportunity to attend
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Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily available. In addition, we have access to the biophysical
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