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-healing processes in conductive composite materials * development of probabilistic algorithms for damage detection and localization * preparation of reports and presentations on conducted research
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gates. The main goals of the project are to develop algorithmic schemes for (i) quantum measurements and (ii) NISQ and beyond-NISQ quantum computing, optimize devices for specific implementations, and
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develop novel algorithms (Vision Transformers, Self-supervised Learning, Explainable AI, and others) and train machine learning models for cancer images (CT and PET/CT scans). The post-doc position involves
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on the characterization, analysis and development of advanced multifunctional materials, specifically those designed to work in extreme conditions, with primary examples being radiation, high temperature and corrosion
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secure information transfer and collection essential. However, communication networks are vulnerable to attacks, and cryptographic codes can become breakable with advances in computer algorithms. Quantum