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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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Management Cluster. Our faculty members rely on a wide range of theories and methodologies, within both qualitative and quantitative approaches, and are committed to rigorous theory development and theory
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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
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for professional and academic development. As part of the three-year PhD program, you will conduct independent research under supervision and complete PhD courses corresponding to approximately 30 ECTS. Courses may
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level, from the quantum processor to the quantum-classical interface all the way to quantum algorithms and applications. The vision of the programme is to enable the development of fault-tolerant quantum
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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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we are AAU Energy is a research department at Aalborg University dedicated to the development of clean and sustainable energy systems. Our activities cover electrical, thermal and mechatronic energy
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https