63 phd-in-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" Fellowship positions at University of Oslo
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Sciences' organised research education programme (PhD programme) and the completion of a doctorate in human geography. The candidate who is hired will automatically be admitted to the PhD programme
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contribute to the development of sociology at the department. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme ) and the completion
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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
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-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. Required qualifications Formal qualifications
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. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in sociology or human geography. The candidate who
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Application Deadline 1 Dec 2025 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Position as Postdoctoral Research Fellow in Deep learning for subsurface imaging available at the Department of Informatics. Position as Postdoctoral Research Fellow available at the Department
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mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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, the teaching activities will be part of the Master’s program Measurement, Assessment, and Evaluation. The main purpose of the fellowship is to build a research profile and competence that qualifies
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qualifications: Strong programming skills Experience with handling large data sets Experience with high-performance computing Familiarity with Earth System Models in general, and NorESM in particular Strong track