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of the collected data. This main goal of this particular PhD fellowship is to develop innovative applications, tools and models for AI game-based learning. Further, in collaboration with a postdoc, the candidate
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that facilitates more efficient development of rich, interactive, personalized and game-based learning experiences. A part of this work is also to consider opportunities for innovation related to start-up companies
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an internationally leading research environment in quantum condensed matter theory and experiments, embedded in the QuSpin section of the Department of Physics, which hosts a Center of Excellence in Quantum
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Theory and Principles for Receiver Design This PhD project aims to develop a theoretical framework for biocommunication using semantic communication theory and principles. The foundational framework will
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technologies to support design and development of game-based learning. Short cover/motivation letter (400 words/1 page). Publications and any other work that the applicant wishes to be taken into account should
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engineering and information technology, protection automation and control theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important
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to contribute to foundational research at the intersection of control theory, optimization, and artificial intelligence, with potential applications in energy systems, and infrastructure networks. The successful
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engineering and information technology, protection automation and control theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important