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radically new paradigm for human control of complex robotic systems with high levels of agency and minimal cognitive effort. The lab is looking for candidates for the following stipend: PhD Stipend: Human
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will be emphasized in the overall assessment. Who we are Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture
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(DTU) and Cornell University. It offers you the opportunity to begin your career as a researcher and scientist, deepen your knowledge and skills across several disciplines, and gain exposure
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
(RMM-VLE) based on DTCS and real-time IoT/sensor data Assessment of pedagogical value in user experience studies on enhancing learning experiences (e.g., engagement, motivation, and knowledge retention
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variety of building stock are unknown. The required selection criteria include: Knowledge of building physics and HVAC system Experience in advanced controls (e.g., RL, MPC) Programming knowledge (e.g
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. Collaboration and documentation: You will closely collaborate with international experts from DTU Physics and DTU NanoLab, sharing knowledge and methodologies, and meticulously document your processes to ensure
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Job Description DTU Electro seeks a highly motivated PhD candidate to join the Perception and Cognition for Autonomous Systems Group (PCAS) in an alliance/strategic partner research project funded
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
, and knowledge retention) through immersive and interactive VLE Preparation of scientific publications and effective presentation of the research findings in international conferences, workshops, and
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) and protocol on certain terms of employment of academic staff at universities (in Danish) . Aalborg University - Knowledge for the world Aalborg University is an international workplace with more than
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them