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17 Sep 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Accounting Research Field Economics Researcher Profile First Stage Researcher (R1) Positions PhD
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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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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
8 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Construct Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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2 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Physics Research Field Physics Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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the section, and the wider department hosts a large and vibrant community of young researchers, some of whom work on related topics and/or use similar methods. We are located on Frederiksberg in Copenhagen
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at the intersection of genetics, epidemiology, and cardiovascular medicine. Using large-scale genetic and health registry data, you will investigate sex-specific differences in stroke risk among patients with atrial
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
of Copenhagen (UCPH) and European Spallation Source. The European Spallation Source in Lund is a future large-scale research facility for neutron-based investigation of materials in a broad sense
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7 Aug 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Compute Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1
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scraping, platform-based data collection, and cleaning and management of large-scale datasets are transforming how social scientists study political, social, and organizational phenomena. These developments