284 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, as well as skills in dynamics & structural health monitoring, data analysis and
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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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physiological conditions concerning health and performance. Your tasks Develop data processing pipelines for multimodal physiological signals (pre-processing, feature extrac-tion, and data fusion) from wearable
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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dynamic, international, and supportive research group that values curiosity, rigor, and collaboration. ETH Zurich provides an outstanding scientific environment with access to high-performance computing
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is an advantage Familiarity with Linux-based computing environments; experience with high-performance computing (HPC) systems is an advantage Knowledge of reproducible research practices, including
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research project “Connecting physical engineering and digital design: Enabling high-performance timber plate structures through simplified connections and planning processes”. The project is a collaboration
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skills which could be relevant include rendering, computer science (with a specific focus on front-end interface development) Fluency in English is required for this position and German is a plus You
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface