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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python
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in modelling using Matlab or Python. You have solid experience using process simulator AspenPlus or Hysys, and you have used them to simulate absorption processes. You have experience with absorption
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quality models, especially for coastal water environments You must be highly proficient in the use of programming languages including, but not limited to python, C++, but also database management
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Familiarity with software such as R or Python Some experience
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-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
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development in power electronics would be desired. Scientific publications will be merited. Experience with programming tools (e.g., Python, Matlab, C/C++) will be merited. Norwegian, Swedish, or Danish
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Experience with programming (for example Python), including the use of machine learning or any other AI technique Good oral and written presentation skills in Norwegian Personal characteristics To complete a
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data