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Ability to actively communicate and co-operate within a larger research team is required. Experience with LINUX environments and analysing large datasets from numerical models is an advantage Experience
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methodological capacities as well as documented expertise in computational methods. Experience with high performance computing is strongly preferred. Experience from applied work in change and anomaly detection is
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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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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of four years with 25% compulsory work (primarily teaching). The candidate will be expected to contribute to the Master’s programme Organization, Leadership and Work (OLA) at the Department
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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diploma. Desired qualifications: Working knowledge of Norwegian or a Scandinavian language is desirable Documented expertise and experience in the following fields and methods: Working with a small-scale
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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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defence of your doctoral thesis is a prerequisite for employment. In addition to your PhD, it is an advantage if you have: experience with ocean numerical model systems, such as the Regional Ocean Modelling