452 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs in Norway
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30th April 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in Ecology Apply for this job
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There is a vacancy for a PhD Research Fellow in Physics at the Department of Physics and Technology . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career
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14th April 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a Postdoctoral Fellow in Digital Twins and Smart Planning in Norwegian
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and in a structured manner and demonstrate good collaborative skills. Training in either numerical model use and development, or in a quantitative approach to geosciences, is a requirement. Basic
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researchers in law, social sciences, environmental studies, technology studies, and critical theory, in close collaboration with Nordic and international partners. The successful candidate will: conduct
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four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description and work tasks Particle accelerators are engines
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learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change and increased uncertainty in life and non-life insurance modelling
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refresh page to watch video, or click here to open video) About the position The Faculty of Technology, Natural Sciences and Maritime Sciences (TNM) has a vacancy for a 100 % position as PhD Research
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techniques for global and regional seismology. Travel time tomography, on regional and global scale, has been one of the main tools in determining the Earth’s velocity structure. Among other things, travel
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Prior experience with one or more causal inference methods is