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Field
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takeaways HyFINE is a national project uniting a consortium of knowledge institutes and businesses to make chemicals greener and affordable. We are shifting from fossil feedstocks like oils and gas
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solution to support such a demand by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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environments (edge-cloud), contributing to the realization of intelligent and self-optimizing 6G ecosystems. The research may include: distributed and federated learning across edge-cloud continuum, AI-driven
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control theory Knowledge of machine learning or optimization methods is a plus Proficiency in programming (Python, Matlab, C++, or similar) Strong interest in cutting-edge research on 6G and autonomous
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at end-of-life. In this role, you will explore and optimize promising glass compositions suitable for use as power-electronics substrates, connecting composition and structure to relevant functional
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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base to stimulate innovation. Diverse groups have members with different, unique knowledge, and by combining and integrating these different perspectives, diverse groups have the potential to come up
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: The PhD Researcher will be responsible for the development of sustainable inks based on metal oxide nanostructures and two-dimensional (2D) materials, as well as for the optimization of the corresponding