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"Practical Quantum Advantage of Reservoir Computing on NISQ Devices." Position Overview The successful candidate will conduct research in quantum and quantum-classical algorithm development, focusing
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of the employee will be the development of large machine learning models (so-called foundation models) for the analysis of sensor data. These are general-purpose models that can be adapted to various applications
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, biodegradable and biocompatible electrical sensors, polyurethanes, and biologically active extracellular vesicles. These solutions aim to prevent inflammation, promote tissue regeneration, and minimize infection
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pillars composed of B-WIM measured and processed strain data and synchronized photos acquired by traffic cameras. During the secondment at TWE, a vision-based algorithm will be built to extract vehicle type