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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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assays to quantify kinetics and selectivity under operationally relevant conditions; and multi-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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inference methods, survey design, and/or machine learning Experience with web scraping and API-based data collection Organizational and coordination skills, such as assisting in drafting terms of reference
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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results