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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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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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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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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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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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methods for space- and ground-based geodetic and navigation applications, with the goal of enabling high-precision, continuous, and real-time positioning. Our team has gained prominence for our work in
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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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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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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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using