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either (computational) Bayesian methods, or statistical learning for complex data, unsupervised learning, or matrix factorization, is an advantage. Experience with management and analysis of large datasets
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Soledad Gonzalo Cogno. About the project The successful candidate will contribute to one of the two main research topics in the lab: (1) the analysis of Neuropixels recordings (experimental data is obtained
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the Reliability, Availability, Maintainance and Safety (RAMS) research group and offers a unique opportunity to work at the intersection of risk analysis, energy transition, and data-driven safety research. Are you
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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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programming to power system analysis, for example, through modelling, simulation, and data analysis Experience with power system laboratory work and real-time simulations. English language skills, both written
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25 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Computer science Researcher Profile First
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analytical chemistry methods, in particular spectrophotometry and chromatography Documented experience with data analysis Documented experience in analyzing and interpreting omics data, such as genomics
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distributions, involving both in-situ studies of evolving solidification microstructures and ex-situ studies of the final as-cast components. Developing and applying high-throughput data analysis methods
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language (preferably R). Experience in statistical data analysis and visualization. Knowledge of salmon and salmon physiology The ideal candidate will combine the following personal qualities: Hard-working