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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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Simulation, Measurements and Data Processing as per September 1, 2026, or as soon as possible thereafter. The position is available for a period of 1 year. In electronic engineering, Aalborg University is
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of large shares of inverter based renewable energy (IBR), cross border power transmission and system related issues such as stability and transmission bottlenecks. Transmission power systems play a major
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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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availability, for instance due to load balancing requirements. Model parameters will be continuously updated using measured and estimated data from the physical pilot plant, providing a foundation for
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/physical AI agents coordinate and act at scale, paving the way toward embodied intelligence in large-scale intelligent systems. The successful candidate will bring strong foundations in embodied AI, robotic
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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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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