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be appointed for more than one PhD 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
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about the department’s PhD program can be found here. The position is part of an active and interdisciplinary research environment with strong expertise in several areas of political science, offering
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advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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(PhD programme) and the completion of a doctorate in sociology or human geography. The candidate who is hired will automatically be admitted to the PhD programme. Residence in Norway is expected, but PhD
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employment that the PhD Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research
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the PhD education and program at TIK and the Faculty and will be supported and supervised by the senior researchers in the project. For both the PhD and the postdoctoral research fellow: The contract will
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-driven to advance with their research project. Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics and sustainability thinking. Follow our PhD program that
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(PhD programme) and the completion of a doctorate in sociology or human geography. The candidate who is hired will automatically be admitted to the PhD programme. Residence in Norway is expected, but PhD
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. The research fellow must take part in the Faculty’s approved PhD program and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research training leading