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materials and constructions. Use Material Flow Analysis (MFA) to explore optimal treatment pathways based on material composition. Collaborating with fellow doctoral researchers across the SCARPA network
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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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research methods highly and often adopt case study, field work methodology or social network analysis. The three-year PhD programme at CBS gives you the opportunity to conduct research under the supervision
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their outcomes. Methodologically, we value qualitative research methods highly and often adopt case study, field work methodology or social network analysis. The three-year PhD programme at CBS gives you
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research projects and environmental exchange as part of the PhD education. Opportunity to interact with a wider network of national and international collaborators. Opportunity to develop your own ideas
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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