774 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" "St" positions in Norway
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shift and to fulfill UN’s Sustainable Development Goals, and we provide academic research and research-based education to support the development of energy-efficient and sustainable process technology in
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, quality-diversity methods, and evolutionary robotics. Experience with programming, designing and/or building robots or mechatronics systems. Experience with prototyping and open source development
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. For further information please follow this link: https://www.nmbu.no/en/faculty/kbm via Unsplash The Norwegian University of Life Sciences NMBU will contribute to securing the future of life through outstanding
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operating states, aiding the rapid development of zero carbon gas turbine technology. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us
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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