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at bachelor and master level, plus a clinical training programme, and the PhD programme has 140 students. Apply for this job Deadline 9th December 2025 Employer University of Oslo Municipality Oslo Scope
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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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programme, and the PhD programme has 140 students. Questions about the position Ole Jacob Madsen Professor o.j.madsen@psykologi.uio.no Dag Olav Hessen Professor d.o.hessen@mn.uio.no Marius T. Mjaaland
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extended to four years, 25% of which is devoted to required duties, usually in the form of teaching activities and supervision. For this position, the teaching activities will be part of the Master’s program
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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
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to admission to the PhD programme. Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for the position". When applying for the position, we ask you to retrieve your
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high-performance computing Familiarity with Earth System Models in general, and NorESM in particular Strong track record of relevant peer reviewed publications All candidates and projects will have to
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, Environmental geosciences. and Crustal Processes. We host now a third in the line of three Centre of Excellences: PHAB – Centre for Planetary Habitability, and have a Norwegian Research School for PhD students
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of the candidate’s academic career (based on the length of the PhD program, the number of years since PhD, and career breaks). Personal suitability, motivation, and compatibility with the rest of the project team
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/english/research/projects/activate/index.html The researcher will be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data