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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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October 2026 Additional Funding Information This project is fully funded for 3 years. Funding includes tuition fees, an annual tax-free maintenance allowance and a research training support budget.
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric archetypes (e.g. curved vessels, bifurcations, side branches
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future of sustainable materials and technologies! Information and application Are you interested? Send your application before March 31, 2026 via the provide button and should include: Personal motivation
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Doctor of Philosophy (PhD) graduate researchers, in which the primary data for the PhD thesis can be collected only in a field location (for example, a fundable project may require access to particular
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17 Jan 2026 Job Information Organisation/Company University of South Bohemia Research Field Environmental science Environmental science » Earth science Environmental science » Ecology Mathematics
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Ordinance (Chapter 12, Section 2), decisions regarding employment cannot be appealed. Further information about the position and the project is available from Professor Rikard Eriksson (project leader