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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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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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/sensor data Pedagogical value and user experience studies on enhancing learning experiences (e.g., engagement, moti-vation, and knowledge retention) through immersive and interactive VLE Scientific
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Center (CoaST). These facilities are now equipped with modern graphical user interfaces, unified communication protocols, and structured data pipelines that collect and store experimental data in dedicated
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas