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into embedded prototypes to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems
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. Its dense multi-scale sensor network, including borehole acoustic emission sensors, standard seismometers, and DAS, operating from 1,000 to 200,000 samples per second, captures earthquakes down
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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systems. The wide range of experiments conducted in the BedrettoLab relies on numerous sensors and data acquisition systems that monitor processes both in the tunnel and within the surrounding rock mass
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, you will design, prototype, and optimize advanced simulation algorithms—particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based
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sensors and DAS, acquired at sampling rates ranging from 1,000 to 200,000 samples per second, is capable of observing magnitude negative five induced earthquakes at distances from meters to 100’s of meters
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February 2026. Typical tasks include: Designing and manufacturing of 3D printed parts Supporting hardware modifications of automated experimental setups Integrating new sensors Running small experimental
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conceptually new type of image sensor based on perovskite materials. Related publications: 1. Tsarev, S., et al., Vertically stacked monolithic perovskite colour photodetectors. Nature, 2025. 642(8068): p. 592
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devices from motors and actuators to sensors, memories, and emerging paradigms for computation. Despite their technological importance, many fundamental aspects of their behavior remain elusive, especially
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thanks to a complex network of sensors and control systems at various levels, that manage tasks such as air quality control, temperature regulation, and zone-specific environmental conditioning. Advanced