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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
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first
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hereafter. The duration of the position is three years. Your work tasks A PhD stipend is available in the field of power electronics, with a focus on developing reliable and circular substrate and integration
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with a strong focus on urban water systems and climate change adaptation. You will develop and apply numerical models of the unsaturated zone to describe shallow groundwater processes in urban settings
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about the department at www.es.aau.dk . Description of the position The position focuses on developing next-generation learning-based decision-making and control for autonomous robots operating safely in
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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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combine requirements gathering with interactive system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in
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candidate has an MSc in Computer Science and is interested in theory, development, or usage of formal methods. Fluency in English is required. Hosting environment FORM is embedded in the Section of Artificial
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to molecular hydration. The student will develop experimental methodologies and combine these with state-of-the-art characterization techniques, including Magnetic Resonance Imaging (MRI), Nuclear Magnetic
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experience in handling and analyzing large-scale genetic datasets are highly desirable. Familiarity with genetic association studies and the development or use of analytical pipelines for genomic data is an