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Field
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research in robotic design and algorithms through real-world applications such as a robotic fish for underwater locomotion , soft robotic hands for pick-and-place tasks , and multi-segment arms for dynamic
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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study how tumor-intrinsic genetic alterations and spatially organized microenvironmental niches jointly shape metastatic progression and therapy response in colorectal cancer. The project is strongly
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100%, Zurich, fixed-term The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is headed by Prof. Dr. Ulrik Brandes. We develop network data science methods
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Position Description Postdoctoral Positions in Theoretical Quantum Matter and Quantum Information Science Swiss Federal Institute of Technology in Lausanne (EPFL) The group of Dr Kruchkov at EPFL
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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be working on a research grant from Innosuisse on the topic of "Self-recovery of end-to-end encrypted vaults". This work entails helping develop cryptographic algorithms in collaboration with the C4DT
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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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Iterative Learning Control (ILC) algorithms on real-world industrial platforms. The project requires good theoretical and hands-on expertise. Perfectly suited for those at the intersection of theory and
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100%, Zurich, fixed-term We invite applications for a PhD position at the intersection of quantum computing and artificial intelligence, focused on the challenge of advancing optimization through