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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department
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time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data
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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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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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position focused on anomaly detection and fault diagnosis in large-scale cooling systems for future mega-cities. The position is part of the SWiM project, an international collaboration involving Aalborg
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the detection of accelerants, contaminants, and degraded forensic evidence and integrate advanced data processing and visualisation techniques to handle and interpret large hyperspectral data sets. Clearly
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and are able to work with large data sets and long time series, including data preparation, statistical analysis and interpretation of results. Experience with soil characterization, soil physics
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contribute to interdisciplinary research spanning process engineering, power engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD