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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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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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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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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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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1. July 2026 or soon
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degree in architectural engineering, civil engineering or a related field. Candidates with experience in areas such as building performance simulation, environmental sensing, data mining, and statistics
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writing your thesis in English. We are highly interdisciplinary and include experts within e.g. biomedical engineering, neuropsychology, pharmacology, biophysics, and medicine with industrial specialisation
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contexts, or a strong motivation to explore how different groups of learners appropriate AI-based tools. A strong technical background, ideally in computer science, software engineering, human-computer
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At the doctoral school of Engineering and Science a PhD scholarship is available within the general study programme Civil Engineering The stipend is open for appointment from 1st of June 2026 in
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, signal processing, calibration, error characterization, and constellation level data integration. Profile: The ideal candidate has • MSc degree in Geodesy, Remote Sensing, Civil Engineering, Physics