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understanding of the rock deformation processes that occur before and during earthquakes. The primary mission will be to develop an independent research project related to one of the two main goals of the project
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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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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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. 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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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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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
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enabling and coordinating metabolism. In the course of evolution, the same molecules have attained more and more key roles as regulators of virtually all biological processes, often through posttranslational
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computational physicist for a 3-year PD position in the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging
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biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts