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the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical
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. The position is set to begin on February 1, 2026, although there is some flexibility in the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN
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well as data analysis of large-scale registry data comparing mutation carriers to non-carriers. The aim of the project is to generate novel insights into human endogenous opioid function. The project offers
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particular its work package 4. Tasks that are envisioned involve development and analysis of non-linear and linear solvers in the context of multi-model analysis of and simulation of subsurface operations
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Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 15th October 2025 Languages English English English Faculty of Social Sciences
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in the context of a UiT grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. The successful candidate will be a part of
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate
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collection, analysis, and publications in close collaboration with other team members and under the guidance of Siri Leknes. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs