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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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Engineering and a strong foundation in thermal sciences and thermal system design. You are familiar with thermally driven processes and would like to develop this further in the context of membrane-based
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Aalborg University’s problem-based learning (PBL) model. The position is anchored in the HumanMachineInteraction research environment at Department of Architecture, Design and Media Technology at Aalborg
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disturbances or cyberattacks, such as sensor manipulation, electromagnetic interference, or injected faults, can affect the behaviour of power electronic systems. Developing data-driven models that capture how
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
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research agenda. You should be excited about successfully combining theory and practice by developing data-driven methods and perspectives for sensing, computing, and communications engineering, and thrive
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an academic paper, discussing requirements with hardware engineers, or presenting at a conference. Self-driven: While you will be fully supported by your supervisors and the research group, you take ownership
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Engineering and Neuroscience. The stipend is open
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combines multimodal data sources, physical models, and advanced machine learning to create new forecasting and communication tools. The lab is looking for candidates for the following two stipends: Stipend 1