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, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal in driving AI innovation and contributing to a transformative approach to
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loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
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customization of Large Language Models for educational purposes. The ideal candidate must have a strong professional network and documented collaboration capabilities, alongside a proven track record in
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willingness to collaborate, network, and interact with other researchers, and the ability to disseminate research in seminars, conferences, and teaching classrooms. We expect you to lead and undertake
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a large national and international network and cooperate with research partners, public authorities
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horizons for advanced technologies. Responsibilities and qualifications The PhD project will focus on the design, synthesis, and characterization of new types of metal-organic network structures, which
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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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