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to investigate how the ice sheet and ocean have varied and interacted beyond the relatively short observational period. As a PhD fellow, you will develop high-resolution reconstructions of Greenland
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based on microbial biomineralization, design bio-based hydrogel
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efficiency, and practical applicability. They could also be implemented in real-time systems. Investigate interactions across operational timescales (Multi-timescale optimization) — from short-term power
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combine academic excellence with relevance for practice — including through innovative formats of dissemination and co-creation with industry. Proposals must address the project’s prospective interactions
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their accuracy, robustness, computational efficiency, and practical applicability. They could also be implemented in real-time systems. Investigate interactions across operational timescales (Multi-timescale
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
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rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will contribute to interdisciplinary research spanning process engineering, power
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of Power-to-X processes for renewable fuel production. The project is primarily rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will
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to understanding and designing AI-supported collaborative learning environments and technologies. The lab investigates how students learn with, through, and around AI, and develops new human-AI-human interaction