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using experimental, computational and data-driven tools for sustainable energy, environment and infrastructure applications. About the project Age-hardenable aluminium alloys are extensively utilized in
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an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural
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supervised by Professor Amir R. Nejad and your immediate Line Manager is Head of the Department. Duties of the position Development of integrated condition monitoring system from contact less sensor data
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experience working with climate models, preferably on model development and/or data assimilation a strong background in computer science, and good programming skills, to suit the Department of Physics at UiT
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an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural
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flow law, compare it to similar research on olivine, and help implementing this model into the geodynamic software ASPECT. The aim is to develop a single method for anisotropic flow modelling for both
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in statistics, applied mathematics, big data analysis, and computer science. The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines
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years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in chemical engineering (https://www.ntnu.edu/studies/phkjpros) within three months of your
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three years with research duties exclusively. The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a