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on growth; and quantify the effects of disturbance - primarily fire - on tree growth. By linking tree-ring data with ecological and environmental variables, this project will provide new mechanistic insights
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application
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discharges through modeling and analysis of data from the groundbreaking ALOFT flight campaign. Our group's recent publications revealed FGFs as a new class of high-energy atmospheric radiation, yet their
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carcinoma as a use case. The successful applicant will develop Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations
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the use of modern machine‑learning methods within applied mathematics—particularly physics‑informed learning, anomaly detection, data‑driven modelling, and the construction of surrogate models grounded in
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three-year PhD–positions related to use of AI for mapping of forest ecosystems. New sensors and increased digitalization generate vast quantities of data that together with advanced statistical methods
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at prestigious international conferences. The PhD project is part of 15 GRAIL PhD projects Europe-wide out of which 2 will take place at the University of Bergen. More information about GRAIL can be found