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16th April 2024 Languages English Norsk Bokmål English English Want to contribute to more effective energy distribution using AI? PhD Fellowship in Advanced Power Distribution Network Analysis Apply
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Want to contribute to more effective energy distribution using AI? Job description The University of Stavanger invites applicants for a PhD Fellowship in Advanced Power Distribution Network Analysis
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machine learning approaches to extract correlations from data first, and causal analysis after to extract causation. The position is funded by the NCS2030 centre. Qualification requirements You must have a
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quench limit cycles due to non-linear valves in hydroelectric power plants. In more recent years such methods have been extensively used in power electronics to improve power quality and reliability
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friction (mechanical lubrication) in cannon turrets and quench limit cycles due to non-linear valves in hydroelectric power plants. In more recent years such methods have been extensively used in power
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for Sustainable Subsurface Utilization of the Norwegian Continental Shelf (NCS2030), the postdoctor will help implement and test cloud-based solution(s) for visualization and analysis of seismic and well data in
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, VPSA and TSA material characterization using (X-ray diffraction, thermogravimetric analysis, N2 sorption, scanning electron microscopy etc.), and reproducing reported material synthesis Emphasis is also
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texture analysis methods used by researchers to seek for associations between tumor heterogeneity and predicted outcome. The current research project is relevant for a wide range of academic and engineering
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from data first, and causal analysis after to extract causation. The position is funded by the NCS2030 centre. Qualification requirements You must have a PhD within engineering, physics, applied
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sustainable change and equitable social development, through new ways of managing natural resources and facilitating better cities and local communities. Energy, health and welfare, learning for life are our