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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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our research portal . Opportunistic screening envisions a scenario in which all acquired medical images are studied in minute detail to detect the early signs of any disease. When combined with AI tools
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of any disease. When combined with AI tools, this has the potential to detect diseases earlier, giving the best chance of improving patient outcomes reduce the burden placed on radiologists and democratize
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. We are open to candidates from different academic backgrounds both within and outside business administration. The candidate will be expected to teach within management and control. As many courses
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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combination of paleoceanographic and paleoclimate approaches, potentially including microfossils, biomarkers, sedimentological and geochemical measurements, and other proxy methods developed within the POLARIS
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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onwards. Through a combination of history of emotions, educational history, historical ethnography, and policy analysis, the project explores how students' discomfort with, resistance to, and disengagement
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what do we offer? The group is part of the Biological Chemistry Section at the Department of Chemistry, Faculty of SCIENCE, University of Copenhagen. The section combines expertise in biophysical
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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