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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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collaborators from AU Chemistry and DTU Physics and DTU Energy. At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD in Physics focusing on Materials Physics and
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, Hydrology, Water Resources, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable discipline. The MSc degree must be equivalent with the Danish
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& Informatics group led by Associate Professor, Simon Gregersen Echers, within the Section of Bioresources and Process Engineering, which offers state-of-the-art experimental and computational infrastructure and
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to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study program. The PhD stipend is open for appointment
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! This interdisciplinary project investigates how generative AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through
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ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of
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At the Faculty of Engineering and Science, AAU Energy, one or more positions as PhD stipend is available within the general study program. The stipend is open for appointment from September 1, 2026
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University (Aalborg CREATE city campus) on the PhD program Media, Architecture & Design, and forms a central part of the externally funded BuddhAi project, which is an interdisciplinary AAU initiative
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI