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Expertise in scientific computing, including proficiency in C++ or Python programming Fluent oral and written communication skills in English Desired qualifications: It will be an advantage that candidates
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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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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
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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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UNIX/Linux interface and basic programming (e.g. Python) is a requirement. Experience with machine learning is an advantage. Experience from free energy calculations is an advantage. Applicants must be
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, psychology, or equivalent statistical genetics expertise and hands-on experience with high performance computing and big data analysis skills in programming and scripting languages (R/Python/Matlab) excellent
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) excellent English scientific writing skills proficiency in programming and scripting languages (e.g., R, Python and/or Matlab) experience with data processing and statistical analysis, including familiarity
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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured
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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes
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experience with designing experimental studies and analysing quantitative data. Proficiency in either R or Python. Favourable qualifications (not requirements, but give applicants an advantage): Relevant