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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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the project/work tasks: The overall goal of this PhD project is to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole
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supervision experience, as well as completed university pedagogical training: Basic skills in planning, implementation, evaluation and development of teaching and supervision. Ability to reflect on one’s own
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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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the University of Bergen (UiB) to Norwegian Centre for Hydrogen Research (HyValue ), a Norwegian Centre for Environment-friendly Energy Research (FME). The PhD research fellow can be admitted to the research
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meeting society's growing demands in sectors such as health, environment, and sustainable energy and materials, to name but a few areas that lie at the core of UN's sustainable development goals (SDGs
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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of Science and Technology as part of the in-kind from the University of Bergen (UiB) to Norwegian Centre for Hydrogen Research (HyValue ), a Norwegian Centre for Environment-friendly Energy Research (FME
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are required to familiarize themselves with the research profile of at least one of the InfoMedia research groups About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and mobility
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the research project that will lead to the PhD degree. It is a condition that you satisfy the enrolment requirements for the PhD programme at the University of Bergen. We can offer: Exciting development