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with researchers of various research, social and cultural backgrounds. A national as well as an international network is an advantage. Proficiency in Danish is required, as the research engages with
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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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Skłodowska-Curie Doctoral Network SCARPA, a European training network committed to circularity and sustainability in the footwear industry. Through advanced experimental work and risk modeling, you will help
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of organizing processes and their outcomes. Methodologically, we value qualitative research methods highly and often adopt case study, field work methodology or social network analysis. The teaching
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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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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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cities can be planned better to support sustainable transport to the benefit of the users and society, for example through the concept of 15-minute cities? And do you have a background in computer
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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