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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- University of Oslo
- Norwegian University of Life Sciences (NMBU)
- The Norwegian School of Sport Sciences
- Nord University
- Norwegian Meteorological Institute
- UiT The Arctic University of Norway
- University of Bergen
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Field
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, interventionist, and/or multi-method research Knowledge about the Norwegian education system in general Teaching experience from higher education and/or the school is desirable Personal characteristics Ability
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with renewable energy. This research, initiated by the Horizon Europe project BlueBARGE , aims to create a sustainable and smart future for ports by designing and optimizing alternative power systems
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The Norwegian School of Sports and Sciences The Norwegian School of Sport Sciences (NIH) is a specialized university and serves as the premier education and research institution of sport science in the Nordic
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doctoral degree. This PhD opportunity offers a unique chance to be at the forefront of the transformative field of hybrid modelling, combining the power of machine learning with physics-based approaches
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Sciences The Norwegian School of Sport Sciences (NIH) is a specialized university and serves as the premier education and research institution of sport science in the Nordic countries. Our mission is to
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of professional background. Ability to spend periods of time in the field working on data collection. Experience in field-based research. Other relevant methodological experiences Skills in a Scandinavian language
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Preferred selection criteria Relevance of professional background. Ability to spend periods of time in the field working on data collection. Experience in field-based research. Other relevant methodological
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ability to conduct independent research, such as completing a master's thesis or participating in research projects during studies. strong analytical skills and problem-solving abilities, as evidenced by
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offers programmes in automation engineering, computer engineering, electric power systems, simulation and visualization. Our research areas include autonomous vessels, robotics, cybernetics, medical
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Preferred selection criteria Demonstrated ability to write and publish international scientific articles based upon carried out research tasks will be seen as an advantage. Documented training in adapted