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model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate will also design and develop new software and prototype models
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A PhD position, fully funded for three years
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overheating models by integrating TIR imagery with energy flux data, building physics parameters, and local weather conditions. Apply machine learning techniques for TIR and other open-source image analysis
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and bilateral PA and MACS building on existing and new imaging data obtained by partner groups in the ENDOTRAIN network. The objectives of the project include: Developing reaction-diffusion mathematical
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, the next candidate on the final classification list will be notified. XV - The full competition process can be consulted by candidates, subject to prior scheduling, by sending an email to the Human Resources
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. 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. About the position
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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Digitalization and AI are transforming society
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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, engineering, computational science, imaging, robotics and biology, the lab focuses on addressing major unmet needs (organ regeneration, treatments for neurodegeneration) related to the CNS. About the project
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The project: The focus of this project is on the novel and exciting concept of multi-rotor wind turbines; a new design paradigm for wind energy, that is attracting an increasing amount of attention