84 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Denmark
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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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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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consumption, range, cavitation, noise and operational robustness. Vehicle dynamics and high-speed control: Developing dynamic models and control strategies for high-speed USV operation. This may include
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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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on the solid application of scientific research method. The department has a pluralistic approach to research methods that includes, for example, formal theoretical models, quantitative empirical methods such as
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addresses one of the most pressing challenges facing contemporary port ecosystems: how ports can develop new strategic roles in support of the green transition. The project will explore how ports move beyond
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enzyme class with applications in industrial biotechnology and drug development. The main model system is bacterial glucuronoyl esterases, which cleave ester bonds linking lignin and carbohydrates in plant
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given the increased pressure from human activities that push species to extinction and potentially disrupts ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation
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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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implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate