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to multi-task learning for multi-cancer risk prediction. To develop these models, you will have access to unique biobank data containing genetic information linked to Danish registry data for approximately
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to develop links with businesses that can benefit academic teaching, research, and funding applications are preferred. Qualification requirements Appointment as assistant professor requires academic
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strong academic environment where research, teaching, and collaboration with external partners are closely linked. The position is based at the Aalborg campus, and you will become part of an international
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continuous improvement. Emphasis is placed on robustness/uncertainty, data quality, and translating analytical insights into strategic and managerial decisions. This domain links technology adoption with
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testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
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using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
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collaboration, openness, and academic curiosity shape our daily work. Teaching is closely linked to our research activities and to Aalborg University’s long-standing tradition of Problem-Based Learning, which
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of climate change modelling and Carbon, Capture, Utilization and Storage. The position will be involved in a number of projects, involved in different aspects of linking climate change with energy system
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ambulance ECGs recorded since 2001, linked to the Danish national health registers and the Danish Heart registries, enabling robust validation of occluded coronary arteries and clinical outcomes. In addition
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Denmark. The work consists of quantitative research, including developing research questions, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking