15 python-"the"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Finland
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scientific writing and communication skills very good knowledge of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in
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., Matlab, Python, or similar are appreciated. Interest in quantum foundations and applications are advantageous. The candidate should further like to work in an international, collaborative research group
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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written
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in a relevant field Strong statistical background with either R or Python, with the ability to work in both worlds. Experience with databases (SQL) We work with Linux in large secure computing
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, astrophysics, or a related discipline completed by the time of appointment, Strong interest in solar physics, space weather, or plasma modeling, Programming experience (e.g., Python or equivalent), Some
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Programme Excellent/good skills in oral and written English Advantages Experience in programming, knowledge of Python, MATLAB or similar is considered as an asset but not required. Knowledge of MRI is an
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programming skills in Python and/or R, with experience using notebooks (Jupyter, RStudio) and Git Familiarity with workflow managers such as Nextflow or Snakemake is a plus Ability to communicate complex
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assessment and supervise/mentor students Programming skills (e.g. Python, R, MATLAB, C) are seen as a benefit. What we offer The salary of the postdoctoral researcher will be based on level 5 of the demands
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and