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- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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processes related to metabolism and signaling Collaborate with clinical scientists and analytics specialists to identify and recapitulate pathogenic mechanisms or diagnostic markers in model systems Actively
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small molecules, such as NAD, CoA or FAD, controls processes related to metabolism and signaling Collaborate with clinical scientists and analytics specialists to identify and recapitulate pathogenic
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point of view? Apply for this job See advertisement 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
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choices. It should also indicate the methodologies to be used. The final project description will be developed in cooperation with the supervisor. Template for project description can be found here
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combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
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Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The research network Stavanger Artificial Intelligence Lab is hosted by this Department. The Department offers a bachelor
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of these categories, feel free to indicate it when applying for the position. Learn more about the criteria for being considered an applicant in these specific groups here . The university aims to recruit more women
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and Computer Science carries out research within Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The research network Stavanger Artificial Intelligence Lab is
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project: Understanding Fluid Migration Processes at Offshore Well Sites. When wells reach the end of their life-cycle, they are permanently plugged and abandoned. When all the wellbores present in a field
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need for a more thorough study of improvisational practices, especially how the improvising musician develops in relation to aspects such as learning, process, communication, collaboration and technology