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-support system for vehicle and station allocations. This research will be conducted together with domain experts and collaborators. The research will be linked to current topics and projects within
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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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fundamental questions including: How can we best simulate Hermitian and non-Hermitian strongly correlated quantum systems and harness the power of both classical and quantum computing resources? How can we
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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