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PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed to circularity and sustainability in the footwear industry. Through advanced
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Computer Science section of DTU Engineering Technology and the Technical University of Munich (TUM). The project will investigate how technological, regulatory, and market uncertainties shape SMEs
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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to an international network of researchers. As part of the PhD, you will address the critical challenge of incorporating considerations beyond efficiency (e.g., fairness and equity) in urban transportation planning. A
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), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
part of the Marie Skłodowska-Curie Doctoral Network called ‘NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across EUrope’ (REUNATECH). A short description of
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Senior Researcher Sanni
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study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Senior Researcher Manuel Gesto Rodriguez and Professor and Head of Section Per