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the balance between human and machine intelligence in shaping future learning environments? This project invites theoretically and empirically grounded studies that contribute to understanding how GenAI is
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integrating into, and working between, two teams in the Copenhagen area. KEY INTERACTIONS NKTP Engineering team and Production, NQCP Neutral Atoms group at NBI LEADERSHIP EXPECTATIONS Contributes within
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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LevelMaster Degree or equivalent Skills/Qualifications Responsibilities and qualifications The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a revolutionary
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. Responsibilities and qualifications The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a revolutionary leap in devices, computing architecture, and integration
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supervisor will be Assoc. Prof. Francesco Da Ros, DTU Electro. Responsibilities and qualifications The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a
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information technology and software engineering. The areas will be complementing each other to make way for the engineering of the next generation of reliable, intelligent and interactive software solutions. This includes
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and