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physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or equivalent) in
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volumes, there is a plan to utilize modern machine learning strategies like "physics-informed neural networks." One of the main advantages of this approach is that measurements and observations made
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. References will also be obtained for relevant candidates. More about the hiring process on our website. The appointee will be based at the University of Stavanger, with the exception of a stay abroad at a
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% position as PhD Research Fellow in “Pioneering AI and Sustainable Materials for Next-Generation Offshore Wind Turbines” from November 1st 2025, or by agreement. The position is at the Department of Process
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“Hydrogen storage for maritime and industrial sector.” The position is organized under the Department of Process, Energy, and Environmental Technology and reports to the Head of the Department. The Ph.D
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a strong background in STEM fields (e.g., Electrical power engineering, control system engineering, Physics or environmental engineering, Mathematics (Operations research) or Computer Science
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to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work
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leading to permeability impairment and reduced injectivities. Much research have been done to understand the physics of salt precipitation, but little is known on how geological heterogeneities at various
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risk may be excluded from further consideration in the application process. The same applies to applicants whose spouse/partner holds citizenship in such countries. USN may also decide, in other cases
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environment, with good opportunities to develop your career and your academic skills A good social environment Attractive welfare benefits in the State Pension Plan Opportunity for physical activities within