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The PhD programme in Innovation for Sustainability is interdisciplinary, applied and project oriented. It is suited for research and development work within private and public sectors as
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technologies that are commonly used in the group include Python, Fortran, high-performance computing, MPI, OpenMP, Commander, Git, and Latex. Familiarity with these concepts will be an asset, but are not
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. Desired qualifications: Experience from field work Experience with high performance computing (HPC) Experience with supervision of students All candidates and projects will have to undergo a check versus
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experience with statistical genetics. Hands-on experience with high performance computing and big data analysis. Experience with handling of large-scale human genotype data (quality control, and polygenic
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Cookie-erklæringen var sist oppdatert 12.06.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan
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, psychology, or equivalent statistical genetics expertise and hands-on experience with high performance computing and big data analysis skills in programming and scripting languages (R/Python/Matlab) excellent
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document their English capabilities by attaching their high school diploma. Fulfillment of the requirements for admission to the PhD program (next section) In the assessment, the emphasis is on
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, meteorology and oceanography. The Department is the broadest geoscience research and education environment in Norway. We perform research at a high international standard and have five ERC (European Research
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geoscience research and education environment in Norway. We perform research at a high international standard and have five ERC (European Research Council) research projects ongoing. The Department encompasses
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Abandonment (P&A) Technology and within the framework of the ongoing industry sponsored research program SFI – Center for Subsurface Well Integrity, Plugging and Abandonment (SWIPA) https://www.sintef.no/en