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the reservoir model and drilling constraints continuously as new measurements arrive, ensures that each decision for the well placement is grounded in the freshest possible view of subsurface and operation
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. Specifically, to achieve the main goal the project is expected to focus on three main areas: Natural language processing and large language models for clinical decision support using a large collection of
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have a solid understanding of evolutionary economic geography methods and models and/or of political competition and public opinion from a geographical perspective. The candidate must also have solid
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adapt methods in statistical time to event analysis, such as multi-state models and joint models. Qualification requirements We are looking for applicants with a strong academic background who have
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relevance to depleting fields. The resulting workflows or guidelines should be relevant at field scale and be applicable on field models from the Norwegian Continental Shelf. The project is modeling based and
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hydrocarbon reservoir to a long-term carbon storage facility, with relevance to depleting fields. The resulting workflows or guidelines should be relevant at field scale and be applicable on field models from
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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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studies, and laboratory experiments with the development of AI-based models to map bioaccumulation, mechanisms of toxicity, and combined risk profiles across biological levels. Through this holistic
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have a solid understanding of evolutionary economic geography methods and models and/or of political competition and public opinion from a geographical perspective. The candidate must also have solid
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. Emphasis is also placed on your: strong quantitative and methodological skills relevant for research in economics or finance (e.g., econometrics, applied statistics, or analytical modeling) motivation and