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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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for species determination Experience with database work and collection data Knowledge of molecular laboratory methods Knowledge of standard software e.g. MS Word, Excel and Outlook Driving license category B
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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
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software development is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and oral English
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of computing. Experience in software development and programming as inquiry particularly situated in a humanities research context. Having released and maintained software for the use of researchers, educators