328 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ"-"Univ" positions in Norway
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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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the field professional and personal skills for completing the doctoral degree within the timeframe ability to work independently and in a team, and to be innovative and creative ability to work structured and
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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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cookie and refresh page to watch video, or click here to open video) About the position At the Department of Design at NTNU we educate designers with an understanding of technology and society
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24th April 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in bioinspired randomly featured materials Apply
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Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and Environmental Engineering; the
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Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and Environmental Engineering; the
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of agricultural environments in the mid-twentieth century. The unifying requirement is that technology functions as a historical actor or infrastructure to be analyzed, not only as a research tool. Proposals may
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of technology and society, researches the interaction between people, technology, society and nature, and designs innovative, human-centred and aesthetic products, systems and services. Are you motivated to take
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, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights