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15th June 2025 Languages English English English The Department of Clinical and Molecular Medicine has a vacancy for a Postdoctoral Fellow in artificial intelligence-based image analysis Apply
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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, or click here
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8th June 2025 Languages English Norsk Bokmål English English Postdoc - Computer vision for sustainable forest management Apply for this job See advertisement Key information SmartForest is a center
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the project TIME4CO2 TIME4CO2 aims at advancing simulation technology for CO2 storage, capturing dissolution processes and convective mixing, validated against high-resolution complex meter-scale
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technology for CO2 storage, capturing dissolution processes and convective mixing, validated against high-resolution complex meter-scale laboratory experiments in the FluidFlower . The project is an
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. Programming skills, with experience or willingness to learn Python. Experience with image analysis and/or signal processing techniques. Quality of the master's thesis and the relevance of the master's thesis
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remote sensing research in one of three topics: 1. Combining synthetic aperture radar (SAR) images with probabilistic weather prediction models to view and predict dynamic sea ice properties. 2. Using
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the aquatic environment, focusing on their gills, a mitochondria-rich organ. Employing advanced imaging techniques and next generation sequencing tools, the candidate is expected to study stress-induced
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept
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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
next generation neural networks for advanced analysis of image and multimodal data. Central research challenges are to develop neural networks that learn more efficiently from limited data