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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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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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infrastructures, preferably based on open source technologies. Together with the departmental IT Facility, you will be responsible for the rollout and reliable operation of the systems. You will build a small
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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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psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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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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for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such supply systems are required for applications such as supplying actuators and sensors in facility
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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