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-resolution drought prediction system. The topic of this PhD position is the monitoring and prediction of droughts on national scale. The PhD student will develop a novel model-based drought index combination
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efficiency. This PhD position will combine fieldwork in real-world architectural settings with human-centric, environmentally responsible application of AI tools. You will join an active, interdisciplinary
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research that combines theoretical development with system-level understanding, and you are able to approach complex problems in a structured and analytical manner. You take responsibility for your own
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resource recovery applications. You will combine numerical modelling in tools such as MATLAB and COMSOL with experimental work in the laboratory, where you set up and operate test rigs, characterize water
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systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine fieldwork in real-world architectural settings with human
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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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is conducted in close collaboration with the Department of Sustainability and Planning at Aalborg University, combining technical research on interaction technologies and robotic systems with socio
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collaboration with the Department of Computer Science at Aalborg University, combining socio-technical research on human-robot collaboration with technical research on interaction technologies and robotic systems
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how combinations of genetic variants shape disease risk and how AI methods can most effectively model these patterns. Both stipends involve working with simulated data, biobank-scale genomic resources
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systems theory, skills related to modelling of mechanical systems and interest in fault diagnosis. This PhD candidate will focus on statistical lifetime assessment of a wind turbine system by combining