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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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. Quantum Devices in Computer Science Group (QDCS) led by Michał Studziński The main goals of the project are to develop algorithmic schemes for (i) quantum measurements and (ii) NISQ and beyond-NISQ quantum
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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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funded from the European Regional Development Fund. The aim of ICCVS has been comprehensive research into development of novel diagnostic and prognostic markers and personalized anti-cancer therapies and
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frequency combs and nonlinear interferometers, development of new detection schemes and data analysis, including programming data acquisition and data reduction algorithms. Writing scientific articles and
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demand in smart electrical power systems - exploiting special data related to electrical infrastructure using QGIS and ArcGIS - advanced Python programming for implementation of developed algorithms
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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