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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
Stig Brøndbo 17th June 2025 Languages English English English Faculty of Science and Technology 4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
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activities: (i) the development of novel simulation techniques, (ii) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The
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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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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 multi-frequency SAR, coupled with in
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The position A Postdoctoral Research Fellow position is available at the Department of Chemistry , Faculty of Science and Technology with the research group Hylleraas Centre for Quantum Molecular Sciences
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Resource Economics. The position is a part of our participation in the center for research-based innovation: SFI Dsolve- Biodegradable plastics for marine applications which includes SINTEF Industry and
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Resource Management and Development, Environmental and Resource Economics. The position is a part of our participation in the center for research-based innovation: SFI Dsolve - Biodegradable plastics
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, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal
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properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 10th March 2025 Languages English English English PhD Research Fellow in Bioinformatics in Life Science - Microbiome Multi
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digital health. Our research integrates AI, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid