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with national research data infrastructures such as Sigma2, Norway's national e-infrastructure for research data and advanced computing. Scientific focus The position will contribute to the scientific
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conducting user experience studies and quantitative performance evaluation Documented experience in the system performance evaluation of computer systems and networks for interactive applications, preferably
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Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance computing and handling
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for and is granted admission to the Faculty’s doctoral programme in Technology within three months of starting in the position. The doctoral programme includes relevant courses corresponding
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environment at the workplace. Pro-active, result oriented and high performance capabilities. Employment in the position is based on a comprehensive assessment of all qualification requirements applicable
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experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language
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the Research Council of Norway (RCN) and Norid AS. The fellow will be responsible for their own research and work closely with the TIDAL team at the Norwegian Research Center for Computers and Law - Department
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environment in Norway. We perform research at a high international standard and have five ERC (European Research Council) research projects ongoing. The Department encompasses six scientific sections
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