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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 from YouTube. Accept
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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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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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applications. Researchers in the department are on one hand active at a fundamental and theoretical level, and, on the other hand, work on applications with links to business, the sciences, and societal issues
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employment This is a full-time position starting on 1 January 2027, or as soon as possible thereafter. Job description You will contribute to research and advice for authorities on marine ecosystems. The work
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sediments. About the position Agricultural land use strongly alters the functioning and biodiversity of the surrounding landscape. Conventional practices rely heavily on chemical inputs, such as fertilizers
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electrode and electrolyte materials, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and
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thermal behavior under low-power and high-power operating conditions. · Develop and propose a calorimetric technique suitable for all-solid-state batteries, particularly for cells maintained under
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
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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regulatory principles. We work on regularization, training on time-resolved perturbation and lineage-tracing data, and multi-modal readouts to constrain these models toward biological mechanisms