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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a candidate, you will establish a hybrid numerical and data-driven bioinspired design
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several master’s programs. The faculty provides a PhD program titled Health, Function and Participation. In addition, the faculty co-manages the research area Innovation in the Public Sector in
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several master’s programs. The faculty provides a PhD program titled Health, Function and Participation. In addition, the faculty co-manages the research area Innovation in the Public Sector in
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to the development of next-generation AI-enhanced finite element methods for robust structural design. You will be part of a dynamic and internationally oriented research group with strong expertise in solid mechanics
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that the agent will learn from simulator data and expert knowledge, and will be designed to work collaboratively with trainees and instructors rather than replacing them. The AI agents will leverage LLMs
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these representations can be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically
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this project, your work will be to research how this monitoring can be done, and how it can feed into a larger system. Your focus will be on RF- and antenna design for reception of reflected GNSS signals
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on designing advanced composite membranes that enable trace-level accumulation by coupling electroosmosis with current-induced ion concentration polarisation in composite membranes. The project also integrates
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’. The position forms part of the larger ERC-funded AFRI-FOR project (https://afrifor.info/ ). In developing countries, reconciling nature protection and development goals (food security, poverty alleviation) make
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the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in the Cortex (https