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at the interface between mechanics and machine learning? We are looking for a postdoctoral researcher for a fixed term, full time position at the Department of Materials and Production on Aalborg campus, starting 1
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to utilise biobank samples as a key element for the assessment of susceptibility to new and existing enteroviruses. In addition, the doctoral project should utilize results from the network to build and
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, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
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computational methods as the necessary foundation to venturing and expanding the field through modern approaches in machine learning and artificial intelligence. The appointment is hosted by the Department
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design. The project will have a strong empirical component. The PhD student will work with behavioural data, immersive experimental environments, and human-centric sensing technologies such as eye-tracking
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technologies Development and utilization of high throughput methods for characterizing and quantifying the physicochemical behavior of food macromolecules in complex matrices. Modelling and the use of machine
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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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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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engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute