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://www.ntnu.edu/iv/doctoral-programme ) Specific requirements for the proposed project: You must have an academically relevant background within fluid mechanics and heat transfer, demonstrated through projects
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to create more accurate and efficient computational approaches for predicting the performance of ships in a seaway? In that way you will contribute to safer and more energy-efficient ship operations. That is
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, performance, and reliability of extruded HVDC cables - AMPRExDC”. You will join the research group High Voltage Technology at IEL, where we foster an open, inclusive, and collaborative working environment. Our
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This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will...
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for robust, fast, and energy-efficient operation in spintronics, quantum sensing, and neuromorphic computing applications. This PhD project will focus on thin-film antiferromagnet materials based computational
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/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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The PhD programme in Innovation for Sustainability is interdisciplinary, applied and project oriented. It is suited for research and development work within private and public sectors as
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timber buildings, timber bridges with long spans, development of high-performance connections based on threaded rods, static and dynamic testing of timber components and investigation of fracture and high
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focused on hydraulic turbine. However, the market, environmental impact and social acceptance is also part of the research. The candidate will work with hydraulic turbines for future flexible operation. It
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within the framework described above Academic publications and popular science dissemination Develop databases for advanced materials for various applications Design high-performance materials based on AI