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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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: Strong theoretical and empirical knowledge about inequality (required) Strong skills in quantitative methods with a focus on register data (required) Working with large datasets, including cross-walking
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, as well as the evaluation of interventions in urban areas. A central part of your research will be the use of advanced quantitative methods, including causal inference, large-scale survey data and
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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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statistical analysis. A broad understanding of statistical modelling is required to match the research at different scales from individual laboratory experiments to large-scale long-term studies. Methodologies
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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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The Department of Biology at Aarhus University invites applications for a 3-year fixed term full-time research support (academic employee) position in the data science team of the Section
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genetic engineering of the selected microorganism to increase its yield and robustness, followed by large-scale cultivation in a 100 L bioreactor. The post doc position is embedded in a larger
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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
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Machine and Deep Learning – Applications and Case Studies in Business AI Agents and Agentic Workflows in Business Explainable AI (XAI) E-commerce, Web and Social Media Analytics Big data analytics Natural