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for contributing to moving the frontiers of science. Experience with thin film material science, electrochemistry and/or magnetic imaging techniques. Extensive hands-on experience with NV magnetometry, scanning
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
response applications. This PhD project aims to develop a field-realistic VLE prototype for education and training purposes of emergency response, construction safety and health, lean construction
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Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalized Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our
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technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
project aims to develop a field-realistic VLE prototype for education and training purposes of emergency response, construction safety and health, lean construction, construction progress inspection, and
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technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural
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of the devices in the state-of-the-art DTU Nanolab cleanroom facilities using quantum dot imaging, lithography, etching and metal deposition. In both projects, the overall objective is to increase the efficiency
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and coherence between the problem and the choice of method and theory If the PhD project seem realistic and feasible Ability to complete the PhD project Relevance of the project to the profile
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. Research Project & Objectives This PhD project aims to develop a field-realistic VLE prototype for education and training purposes of emergency response, construction safety and health, lean construction
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models