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has been created in theoretical quantum computing. We are particularly interested in candidates working on quantum error correction, algorithms, simulation and qubit architectures. We are also
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and simulation of coupled T-H-M-C processes in clay based engineered barrier systems. Experience with numerical algorithms (also open source) for 1D/3D simulations is expected. You have a strong
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position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers
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international collaboration with partners in Switzerland with academia, clinics and industry, mentoring MSc, and PhD students. Dr Diego Paez-Granados in collaboration with Prof. Robert Riener (SMS Lab ) will
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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bioinformatician to work on omics data. Project background The Laboratory of Regenerative and Muscle Biology (RMB), headed by Prof. Ori Bar-Nur, is a multidisciplinary and collaborative group of scientists focused
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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health