29 image-coding-"UCL"-"UCL" PhD positions at Technical University of Denmark in Denmark
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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
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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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on both public transport, walking and bicycle trips focusing on the full door-to-door travel. The data sources include image data in terms of photos and videos of the urban landscape as well as in and
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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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can be used for operando diffraction and imaging experiments on metal-air batteries during charge/discharge. Perform detailed materials characterization of the components of the battery using e.g. in
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endoscopy, this is the right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by
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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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the emerging field of Geophotonics — a novel paradigm that explores the interaction of light with natural crystalline materials to decode the dynamics of Earth's surface. The positions offer a unique opportunity
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our