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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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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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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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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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. The research groups are also active in entrepreneurship, clinical process innovation, and industry collaboration. Contact Further information about the position and UiT is available by contacting: Professor
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injectivities. Much research have been done to understand the physics of salt precipitation, but little is known on how geological heterogeneities at various scales affect the extent of salt formation
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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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information about the employment process can be found here . via Unsplash Life as a PhD candidate at UiB Marion Claireaux tells about life and work as a PhD candidate at UiB. ... (Video unable to load from
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for an interview as part of our commitment to inclusivity and equal opportunity. Further information about the employment process can be found here . Life as a PhD candidate at UiB Marion Claireaux tells about life
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in at least one of the following fields: Molecular modeling, statistical physics and machine learning Competence desired: Geosciences, reservoir engineering, modelling 2) CO2 -enhanced oil recovery and