240 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Tampere University" Fellowship positions at University of Oslo
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advanced techniques involving electron spin superposition states for enhanced sensitivity. The development will be supported by a larger activity in the Solid State Physics group and Centre for Defects in
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in the development of knowledge. Qualitative methods and techniques like interviews, observations, and action research are preferred, but a mix of qualitative and quantitative may also be relevant. Use
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learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based
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requirement: Fluent oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
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analysis, development of educational material, organization of environmental activities, as well as dataset management and administrative tasks within UiO:Real-World Evidence and the UiOLifeScience
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, performs research and teaching on how to develop high quality software that benefits society and that is useful for both individuals and organizations. Goal / Development plan: In this PhD project you will
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. The focus is on the development of original mathematical methods for AI and its applications aimed at the modelling and analysis of complex phenomena particularly within economics and finance, energy finance
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and development projects on related topics, in particular with CoorsTek Membrane Sciences AS which is a leading technology developer of proton ceramic electrochemical cells and partner in the HYDROGENi
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to the following projects: OESE. The project is connected to the project “Origin and Evolution of Solar Erup-tions (OESE)” funded by the Research Council of Norway. The OESE project will study solar eruptions by
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of meta-material structures. The project will involve both physics-based forward modeling of protein or metamaterial structures, the development of effective architecture for machine learning classification