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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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. Research staff regularly attends the most important international conferences and has large international networks of top scholars in the field. The four-year program is designed for students who wish
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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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1 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Physics Research Field Physics Researcher Profile First Stage Researcher
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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under the Geneva Convention. In addition, the following qualifications are beneficial: Expertise in causal inference using large data sets Knowledge of obesity treatment with GLP-1 analogues Experience
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emphasized. via Unsplash We offer professional development in a large,excitingand socially influential organisation a positive,inclusiveand diverse working environment modern facilities and a comprehensive set
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detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest in the research subject. Required
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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 from YouTube. Accept
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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 will find more information about working at NTNU and the application
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data or other types of big data. Training in application of genetic data. Experience with multilevel modelling or Structural Equation Modelling Experience with twin and different family studies