53 postdoctoral-soil-structure-interaction-fem-dynamics Fellowship positions at University of Oslo
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/Artificial Intelligence Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available
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interactions during structured discussions, team-based simulation sessions or problem-solving tasks to long-term collaborative work on open-ended projects. Often, collaborative work or tasks are supported
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solving, project-based work, or creative tasks in authentic contexts. Collaborative learning can take many forms; from short-term interactions during structured discussions, team-based simulation sessions
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capillary flow, drop impact, and wetting in fibrous networks. The PhD research fellow will design droplet flow experiments on fibers and focus on droplet accumulation on fibrous structures when exposed to fog
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with people from other subjects • Has good communication skills • Is structured and systematic • Takes initiative and is solution oriented • Attention to detail • Flexibility and ability
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adapting to dynamic updates, while also requiring robust interpretation and linking methods to enable scalable interoperability. The SecondPass project aims to address these challenges and facilitate
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variety of computational infrastructures. The project will involve interaction with Norwegian partners, where the working lan-guage is Norwegian. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What
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sematic technologies. Both groups have a dynamic and interactive working environment with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates
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for operationalization, meaning that they operate robustly and can be efficiently installed and tuned on a variety of computational infrastructures. The project will involve interaction with Norwegian partners, where
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
fuels from recycled CO2 feedstock” funded by the Research Council of Norway. The project aims to advance fundamental insight into the structure-composition-function correlations that govern