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., triaxial rig, shock apparatus, acoustics). All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
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models, and to understand how elements heavier than iron are formed in explosive stellar environments. The current project is closely related to the research activity “Nuclear Properties” of the Norwegian
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implement a framework to infer anisotropic viscosity from both ice and mantle textures in a numerical flow model. This will open new avenues for understanding solid earth and cryosphere dynamics, and their
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of Lower-Crustal Seismogenic Faults to be based at the Njord Centre, Department of Geosciences, University of Oslo (UiO). The preferred start date of the position is November 1st, 2025, and the position
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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psychosis, through the use of genomics, metabolomics and neuroimaging data. A central part of the project is to develop and apply advanced biostatistical tools to predict clinical outcomes based on large
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/physically-based modelling background and experience from groundwater studies to join our team. The person will analyse groundwater level observations and related climate and site-specific data to assess
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independently Enthusiasm, personal drive, and ability to take initiative Attention to details Flexibility, ability to handle pressure and meet deadlines Employment in the position is based on a comprehensive
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droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work is experimental and will be conducted in our lab facilities, also incorporating theoretical models
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between ice and mantle dynamics. In DYNAMICE, we will implement a framework to infer anisotropic viscosity from both ice and mantle textures in a numerical flow model. This will open new avenues