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need, this may be prepared from published field operation data, laboratory measurement or other sources. Machine learning can be used to select the bet data set for each particular cases covering
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to WAN and inter-domain networking, Excellent command of foundational and applied AI technology, from neural networks, distributed reinforcement learning to agentic AI and recent developments in
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the interaction between digitalisation and society from various theoretical perspectives and develop new responsible digital technology. Our other priority area of research is Language in Learning, which aims
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department
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of Information Technology and Electrical Engineering, NTNU has a vacancy for a PhD candidate in Wind Turbine Noise Prediction in the Norwegian Context. The Acoustics Group studies the generation, propagation and reception
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doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU ) for general criteria for the position. Preferred selection criteria Knowledge of programming and
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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sciences Economic and Administrative sciences Maritime sciences Social sciences and Humanities. The Faculty is also responsible for PhD programmes in computer technology, innovation and regional development
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relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water