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industrial environmental burden of our generation. Disruptive innovations are required for alternative reduction processes that convert mineral ores into metals without today’s carbon-based methods
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engineering innovation by developing wildlife tracking technologies, including integrating advanced AI-based analytics to create a novel prototype for conflict mitigation. The work will involve developing a
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knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video
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force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute significantly
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investigates the molecular mechanisms that govern plant development, with a particular focus on symmetry breaking processes in tomato flowers. Symmetry breaking is a fundamental biological phenomenon in which
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world. You will find more information about working at NTNU and the application process here. About the position Studies of phase formation, evolution of microstructure and casting defects in high
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-based imaging technique Dark-Field X-ray Microscopy. Installed at the European Synchrotron Radiation Facility in France we utilize it to visualize the evolution of internal structures in metals during
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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spatial memories and how these processes are influenced by addictive substances. You will use state-of-the-art in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
developed a dataset by conducting high-velocity impact experiments on CFRP specimens using controlled testing setups. The multimodal dataset is to be processed using X-ray CT scans, SEM imaging, and