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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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. AEGIS sits where two fast-growing fields meet: datacentres and AI infrastructure on one side, energy and power systems on the other. Few people today can work across both, so the skills you build here
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estimation methods or Kalman Filters is advantageous. Ability to work independently and take initiative in planning and executing computational research. Creative, innovative and driven by scientific curiosity
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SPARK project, starting in September 2026 or soon hereafter. The 3-year project is funded by the EU’s Horizon Europe flagship programme to develop and pilot Stillstrom’s Offshore Power Zone infrastructure
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can be integrated into workshop and studio-based formats to capture, summarise, moderate, and personalise in-class learning for later re-engagement. For example, AI systems might capture multiple
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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relation to the research group Fluid Power and the PhD Student will be positioned to the section for Mechatronics. Your competencies The ideal candidate for this PhD position should have a strong academic
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you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database. Please note that we might ask you to obtain an assessment
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environment. Our research facilities include access to state of the art pilot plants, ability to use a range of sensors and expertise in process modelling and design. The PhD project will be undertaken in
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master’s degree. We encourage you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database. Please note that we might ask you to