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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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an understanding 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
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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to contribute to developing the next generation of risk-informed design methodologies for infrastructure exposed to natural hazards and climate change. About the project Infrastructure systems such as roads
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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10th April 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Edge AI Accelerator Design Apply for this job See advertisement This is NTNU
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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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. 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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for innovation and new solutions. The Department of Ocean Operations and Civil Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available
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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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in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and