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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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. 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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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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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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learning research. The research groups are also active in entrepreneurship, clinical process innovation, and industry collaboration. Contact Professor Brita Elvevåg : phone +47 91993063; email: brita.elvevag
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PhD Research Fellow in CO2 capture from November 1st, 2025, or by agreement. The position is at the Department of Process, Energy and Environmental Technology and reports to the Head of Department