17 machine-learning-"https:"-"https:"-"https:"-"https:" Fellowship scholarships in Norway
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University of Stavanger invites applicants for a PhD Fellowship in in molecular modelling and machine learning for improved subsurface utilization, at the Faculty of Science and Technology, Department
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operationally safe position in real-time. This research focuses on real-time multi-objective optimization of wells, that may be achieved with a mixture of algorithmic and machine-learning approaches. Updating
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analytical approaches, including machine learning and statistical modeling. It has two main objectives: Develop a cognitive task for assessing neurophysiological processes involved in declarative memory
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resulting precipitation and extreme weather. We study global and regional climate change and are at the core of international community climate modeling efforts that also involve AI and Machine Learning. We
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to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies economic assessments machine learning or proxy-model based methods field
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exclusively. A career plans will be prepared that specifies the competencies that the Research Fellows will acquire. Access to career guidance will be provided throughout the doctoral education. One
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to qualify for artistic work and research at a national and international level. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance
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career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD
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. The appointment is for three years with research duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided
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duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education