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description ESR15 will primarily focus on the development of metamaterials-based structures and devices that through vibration energy harvesting can exploit structural vibration to power sensors and data
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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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: 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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. 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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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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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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implementation of the developed models into simulation codes and algorithms. Work closely with project partners from other leading research institutions. Present research findings at international conferences and
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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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, 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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software for scientific data analysis. B: A computer scientist or software engineer specialised in algorithmic optimisation and data structures, with demonstrated accomplishments in the context