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of DTU Engineering Technology and the Department of Electric Energy at the Norwegian University of Science and Technology (NTNU). The project will investigate coordinated operation and control of local
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between process/system performance, reliability, energy and resource efficiency. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing
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Method to analyze the single-photon source performance (PhD1). Optimize and propose new single-photon source designs overcoming these limitations to be fabricated by other PhD students (PhD1). Perform
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that transform earth—currently disposed of in landfills at high environmental and economic cost—into high-performing and aesthetically pleasing structures. These innovative structures are characterized by a
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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
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theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
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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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learning models achieve high performances on public datasets for single modalities, they are not adapted in practice. During this PhD project, the research will be focused on finding ways to integrate deep
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sensing information from key locations on the offshore infrastructure. In this regard, the research will focus on the assessment of the nonlinear structural performance utilizing reliable and
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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