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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care . Here you will be integrated into an international group of researchers, investigating and clinically applying
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Doctoral Network funded by the Marie Sklodowska-Curie Actions (MSCA), dedicated to advancing innovative solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project
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Doctoral Network funded by the Marie Sklodowska-Curie Actions (MSCA), dedicated to advancing innovative solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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processes, feasibility testing, and health economic evaluation will be considered an advantage. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
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and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile
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Help build the systems that will electrify industry Industrial energy systems are about to change fundamentally. For more than a century, industrial processes have been designed as isolated