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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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Technology, Mathematics and Statistics, and Computer Science. More about the position Modern diffusion models underpin state-of-the-art generative AI for images and continuous data, yet principled diffusion
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novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging, and clinical
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inventories and provision of environmental information. Similarly, the developments in AI and machine learning allow for new and improved processing of remotely sensed data supporting precision forestry
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25 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Energy and Process Engineering Research Field Engineering » Aerospace
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experience in marine and polar environments. Experience with image analysis and molecular techniques, as well as taxonomic knowledge of Arctic zooplankton. A record of peer-reviewed publications will be taken
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. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
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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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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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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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Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo