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and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity on salt flow and the internal architecture of deformed salt bodies
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internal architecture of deformed salt bodies. The project is funded by the Trond Mohn Research Foundation and led by Dr Leonardo M. Pichel with coinvestigators at the University of Bergen (Profs. Ritske
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the project/work tasks: Advanced data management on large datasets to facilitate data for statistical analyses Design and plan analyses Make efficient analysis pipe-lines in the statistical software R
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datasets to facilitate data for statistical analyses Design and plan analyses Make efficient analysis pipe-lines in the statistical software R for automatic statiscal analyses of a large number of
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on salt flow and the internal architecture of deformed salt bodies. The project is funded by the Trond Mohn Research Foundation and led by Dr Leonardo M. Pichel with co-investigators at the University
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that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or process industry, and academia. The career promoting work will
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market for personnel with the knowledge and skills that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or
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if applicants have completed courses that cover these topics during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity
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during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity with real-world programming language specifications
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interpretation is a requirement, preferably using Petrel software Experience in low temperature thermochronometry is an advantage Experience with restoration techniques, dynamic crustal modelling or landscape