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three years emphasizing the development and testing of next-generation serious gaming approaches with respect to construction safety, health, and well-being or emergency response applications. This PhD
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
PhD student eager to dedicate three years emphasizing the development and testing of next-generation serious gaming approaches with respect to construction safety, health, and well-being or emergency
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for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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applications from researchers specializing in probabilistic and neuro-symbolic AI. Areas of interest include, but are not limited to: • Probabilistic machine learning • Deep probabilistic graphical models
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(or other graphic design tools) would be an advantage. Employment conditions Employment conditions will be in accordance with the Collective Agreement between the Danish Ministry of Finance and the
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flatfiles, SQL, Spark or similar) Data storytelling and communication (notebooks, static graphics, dynamic graphics, dashboards, Shiny, Plotly, Streamlit) Terms of employment The positions are full-time with
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or implementing methodology for graphical Rasch models. These projects are focused on user-friendly software implementation and testing, but will also include elements of dissemination, e.g. through producing user
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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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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