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, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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are FAIR-compliant, secure, efficient, and operated in a sustainable manner over the long term. Furthermore, you will actively participate in the design, prototyping, and further development of RDM
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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're
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, safety, and societal acceptance of CO₂ injection into Switzerland's subsurface. Time-lapse seismic-reflection imaging is the primary tool to image the CO₂ plume and its migration through the subsurface
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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service providers operating in high-demand sectors including offshore wind, oil and gas, but also maritime security, demining (UXO, MCM) and search & rescue. As an ETH Zürich Spin-Off, we are a fast-growing
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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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reserves sharing and spatial distribution on the electricity market prices and grid security. Understand the interdependencies between the energy transitions and the future electricity markets. This thesis
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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