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% position as PhD Research Fellow in “Flexible Time Aggregation Approaches for Maximizing Flexibility Value in Nordic Flow-Based Market Coupling” from August 18, 2025. The position is a part of the FME
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projects will work towards this goal. PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en
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Research Fellowship period at the University of Oslo. Job description This position is funded by the Department of Informatics and will be part of the collaboration between the Reliable Systems (PSY
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computing language. Experience with machine learning methods is a plus. The research fellow must take part in the faculty’s approved PhD program and is expected to complete the project within the set
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renewable energy, contributing to grid reliability and sustainability. However, the efficient operation and maintenance of hydroelectric generators, turbines, and auxiliary components are critical to ensuring
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viscosity on the interplay between ice and mantle dynamics. The successful candidate will be part of an international team with collaborators both in the University of Oslo, and outside (https://www.mn.uio.no
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and enhancer-promoter spatial associations, as revealed by Hi-C, inform transcription start site (TSS) usage? How does alternative promoter selection impact translation efficiency? The PhD is part of
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independently and as part of a team Ability to work precise in a structured manner and swiftly adapts to new tasks Positive attitude and the ability to handle hectic periods Enjoy solving research questions as a
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of their fellowship period within the duty component of 25 %. More about the position / Project description The research of the Nuclear Physics group is focused on the study of atomic nuclei under extreme
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activities and supervision. For this position, the teaching activities will primarily be part of the Master’s program Measurement, Assessment, and Evaluation. UiO/ Anders Lien via Unsplash UiO/ Anders Lien