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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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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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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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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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work in a unique interdisciplinary constellation, with world-leading competence in musicology, psychology/cognitive neuroscience, and informatics. Job description Manage the daily operation of selected
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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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