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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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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
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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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will involve both computational predictions and experimental validation. The project will combine density functional theory calculations with machine learning and molecular dynamics simulations
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, alternative approaches combining experience from other research fields can lead to interesting novel insight and will also be appreciated. Qualification requirements PhD stipends are allocated to individuals