Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
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
-
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
-
. Programming skills, with experience or willingness to learn Python. Experience with image analysis and/or signal processing techniques. Quality of the master's thesis and the relevance of the master's thesis
-
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
-
-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
-
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
-
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
-
to the faculty's Doctoral Programme (link) Good oral and written presentation skills in Norwegian or English language equivalent to level B2. Good programming skills (any programming language, but C# or python
-
criteria for the position. Preferred selection criteria Familiar with SPSS, STATA, R, or Python for quantitative analysis Knowledge of NVivo or Atlas.ti for qualitative data analysis Personal characteristics