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process at https://employment.ku.dk/faculty/recruitment-process/. Interviews with selected candidates are expected to be held in late September 2026. Questions For specific information about the PhD
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candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low-carbon energy
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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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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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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process at https://employment.ku.dk/faculty/recruitment-process/ . For more information on working and living in Denmark, please visit http://ism.ku.dk (International Staff Mobility) and https
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will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates
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. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and
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learning spaces can bridge the on-campus social learning moment with extended, individualised learning in other temporal and physical contexts. The project is centrally concerned with how generative AI tools
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for cyber-physical systems. The position is open for appointment from 15 September 2026 or soon hereafter. The duration of the position is three years. About the Project AI:X is an ambitious initiative