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command of English, both orally and in writing A systematic approach to problem solving, including process optimization In addition, it is of advantage that the applicant has: Experience with tools such as
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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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synthesis of timed and probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic
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of the applicant. Relevant aspects may include but are not limited to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies
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a team, be innovative and creative ability to work structured and handle a heavy workload having a good command of both oral and written English Requirements for competence in English A good
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, including with large language models. You must also have a good command of both oral and written English. In the assessment the following criteria will also be emphasised: relevance, quality and feasibility
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applicants for a PhD Fellowship in Optimization of Multi-Energy Systems, at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The position is vacant from February 2026
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applying AI for optimization and control of energy systems experience with forecasting tools, and market data analysisrelevance, quality and feasibility of the project submitted scientific work and your
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the mitochondrial population (PMID 38043948). Already supported by experiments in model plants, this theory suggests that emergent mitochondrial behaviour reflects an optimal solution to a collective of social and
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structured and handle a heavy workload having a good command of both oral and written English Requirements for competence in English A good proficiency in English is required for anyone attending the PhD