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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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on both meroplankton and benthos data to enhance the value and efficiency of long term time series analysis. The position is based in Bodø and will be available from January 2026. via Unsplash Qualification
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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and solutions that can change everyday life. Department of Structural Engineering We teach mechanical engineering, engineering and ICT, and civil and environmental engineering. The Department conducts
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enhance pollination services and increase apple orchard productivity. Pollination is a critical ecosystem service for apple orchards, influencing fruit set, yield, and overall orchard health. This project
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efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About
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-enhancing work may be considered added to some of the positions, depending on the needs of the departments. To be employed in a PhD position at NTNU, it is a prerequisite that you gain admission to the PhD