7 condition-monitoring-machine-learning Fellowship positions at University of Stavanger
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Methodology The PhD candidate will develop innovative AI models using machine learning and deep learning frameworks. Methodologies will include supervised and unsupervised learning approaches to identify and
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invites applicants for four PhD Fellowships in subsurface characterization within geosciences, reservoir engineering, molecular modelling, and machine learning at the Faculty of Science and Technology
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cases, cross-case analyses, thematic inspections, and risk monitoring, and there is a need for research to support evidence-based supervision. The aim of the project is to develop new knowledge about how
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to calculate your points for admission. Emphasis is also placed on your: background in algebraic or symplectic geometry or mathematical physics programming skills and experience with computer algebra packages
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competitive salary. Nursery places are guaranteed and reasonably priced. relocation programme Diversity Diversity is a resource in the working and learning environment at UiS. When we have different backgrounds
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learning environment at UiS. When we have different backgrounds and experiences, we can approach challenges from multiple perspectives and find better solutions. At UiS, we are committed to showing respect
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resource in the working and learning environment at UiS. When we have different backgrounds and experiences, we can approach challenges from multiple perspectives and find better solutions. At UiS, we