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the sports of cross-country skiing, alpine skiing, swimming, orienteering, and track and field. The position and the research project The Department of Physical Performance at NIH offers a three- to four-year
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the research project Struggling Women and Men: Political-Democratic Gender Gaps in a High-Trust Welfare State (STRUGGLE) , funded by the Norwegian Research Council. The PhD fellowship period is three years and
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as part of the project “UNDER THE CLOUD – Knowledge, democracy, and community rights in Norway’s data centre landscape,” while achieving your doctorate degree. In this manner, you will gain valuable
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
to better coordinate operators, equipment, and facilities, as well as manage operations across multiple projects and supply chain partners. A key part of this research is to investigate how AI can be
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larger project team and a cohort of PhD research fellows and postdoctoral researchers across NTNU, the Fridtjof Nansen Institute and the University of Oslo. The position offers excellent opportunities
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education programme Carry out high quality research Develop material integrity predictive framework using different experimental and simulation approaches Participate in project meetings with supervisors and
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to submit the following electronically together with your application: Background Information: A short personal statement describing your research interests and potential research projects. Please also
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. The PhD project will therefore study C-UAS concepts and contribute to develop and test solutions that are specially targeting Norwegian needs. The UAV-lab at NTNU has been one of the prime research
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increases for up to 4 years with a 3% annual increase. A good and professionally challenging working environment Enrolment in the Norwegian Public Service Pension Fund Good welfare benefits Project proposal
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project is part of the newly funded, large national research programme Arctic Ocean 2050 (Polhavet 2050). The PhD project will be based on samples and datasets collected during previous expeditions