753 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Linköping university" positions in Norway
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Identifying optimal multi-use portfolio considering battery degradation Digital twin and cloud platform mechanisms to facilitate decision support system Where to apply Website https://www.jobbnorge.no/en
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universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
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within relevant research areas at the department, and contribute to the development of collaboration with work life. The position also includes developing digital and diverse learning methods in teaching
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well as researchers from 15 international institutions. More on the project at http://sure-ai.no . Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality
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15th May 2026 Languages English English English Do you want to contribute to the development of future reproductive technologies in pig production? PhD scholarship within veterinary reproductive
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conscious commitment to the development of contemporary art. The Trondheim Academy of Fine Art is one of four departments in the Faculty of Architecture and Design . Where to apply Website https
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area on civil security by focusing on the vulnerability assessment of urban environments, sustainability, resilience, and knowledge for a better world (https://www.ntnu.edu/civil-security ). Duties
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the integration of AI-based digital systems in new product development (NPD) processes influences organizational dialogue, participation and authority structures in complex innovation systems. The possibilities
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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
in Norway. About the project This PhD position is part of the newly funded VISTA Centre for Norwegian Transformative Energy Policy Development (NOTRAP) (https://www.ntnu.edu/notrap ), which will
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop