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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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months at the Technical University of Munich (Germany), gaining international research experience and expanding your collaborative network. As part of your research, you will: Design responsive-switchable
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, take a 4-6 month external research stay, and grow a network across academia, system operators, and industry. Context and motivation The green energy transition is increasingly digital: it relies
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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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described above while collaborating with other LOOPER researchers and DTU’s technical staff. Second, it is to fulfil the obligations defined by DTU Sustain’s PhD school, i.e., write journal articles
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will be actively researched. Apart from the topics above, your own background, research interests and passion will be considered when defining your specific PhD project description. Furthermore, you will
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’ willingness and ability to adopt the green energy innovations that are essential to achieving a net-zero society. SMEs’ adoption of clean energy technologies is critical to the green transition. Yet, high costs
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large national and international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research facilities and Denmark’s only ocean- and arctic
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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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and dissemination activities within DTU courses and networks We are looking for a candidate who has: A Master’s degree in bioinformatics, microbiology, food science, data science, or a related field