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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience knowledge
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the hiring process). A final project plan will be developed together with the appointed supervisors during the first three months of the fellowship. Requirements for the final project proposal can be found
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Engineering » Computer engineering Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 3 Feb 2026 - 23:59 (Europe/Oslo
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. Mitochondrial populations in cells form “social networks”, meeting and exchanging biomolecules in a cellular society – an example of emergent behaviour from agents in a confined physical environment. We have
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» Research methodology Educational sciences » Teaching methods Educational sciences » Other Ethics in health sciences » Other Ethics in natural sciences » Other Ethics in physical sciences » Other Ethics in
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. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a strong background in one or more of the fields of rock physics
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involvement and civic participation. Meanwhile, in many countries, there is an increasing distrust of experts and expertise. Technical developments such as AI are also profoundly changing professions, a process
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at the university campus in Stavanger. The core element of this PhD project is to use physics-based and data-driven modeling approaches for developing accurate models for real-time optimization and control
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exclusively, or four years with both research and other career-promoting work. This will be clarified in the recruitment process. A career plan will be prepared that specifies the competencies that the Research
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students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position Would you like to contribute to enabling risk