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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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fragmentation. This project seeks to overcome these barriers by integrating BIM-based energy modeling, semantic data models (Ontologies), and Large Language Models (LLM) into the control workflow. The candidate
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Rietveld refinement of X-ray diffraction data. A background including experiments conducted at large scale facilities. Knowledge of magnetic properties. Experience with measuring vibrating sample
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proficiency in scientific programming (e.g. in python) and must demonstrate the ability to handle large amounts of data confidently and systematically. Previous experience with machine/deep learning will be
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scientists and has a large international network of collaborators. We seek committed candidates that can work focused and independently but that flourish in an international team having a strong, synergetic
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22 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Section for applied power electronic systems Research
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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. While grid-forming (GFM) wind turbine generators contribute to voltage and frequency regulation, they may exhibit significant nonlinear large-signal behavior during disturbances, including current
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PhD on 1 September 2026, or as agreed. The place of employment will be Odense. Project background and overall aim The Danish healthcare system is currently being reorganized and transformed by large