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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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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 process here
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24 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Technology » Electrical technology
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Familiarity with large-scale survey data, conflict and political violence event data, and administrative datasets Strong analytical skills and ability to communicate clearly Ability to work both independently
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familiarity with laboratory methods, such as qPCR, immunohistochemistry and flow cytometry are required. Experience in use of omics tools and handling of big dataset as well as analysis of data using R software
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2 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Geosciences Research Field Engineering » Geological engineering
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://mountainsinmotion.w.uib.no/ ), but there is also flexibility for the candidate to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets
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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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located in three 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
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with register data or large datasets will be considered an advantage. Experience with, or knowledge of, Nordic health registries or databases and/or pharmacological epidemiology is desirable. Experience
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STATA, R, or SAS, will be viewed positively. Documented or demonstrated ability to work independently with register data or large datasets will be considered an advantage. Experience with, or knowledge