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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
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Do you bring together domain specific knowledge from the social sciences with a genuine, hands-on command of AI and/or digital methods? Would you like to advance research that integrates state
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models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual sensing techniques (e.g., Kalman Filters) combined
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models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual sensing techniques (e.g., Kalman Filters) combined
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support recipe optimisation for well-controlled materials and processes, you will investigate whether similar methods can be applied to mechanical recycling from heterogeneous waste streams. The ambition is
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that explain how humans learn, adapt and stabilise navigation behaviour in urban environments. The project will combine methods from transportation science, artificial intelligence, computational neuroscience
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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of existing buildings. The position is part of BUILD’s ongoing research on developing and operationalising methods that allow renovation, transformation, and continued use of the existing building stock to be
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potential. Detecting and diagnosing these faults early at the component, building, and city-district level is essential for the sustainable cities of tomorrow. This PhD project addresses a fundamental
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actuation and control. Although research has demonstrated stable levitation and contact-free pumping in laboratory-scale systems, reliable design methods for realistic industrial operating conditions remain