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Field
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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-economical surveys and work is an advantage. Knowledge of R and/or Python as a tool for data analysis, statistics, and visualization is an advantage. Experience with work within local communities in West
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modelling Disseminate research at conferences and workshops Selection Criteria Experience with LCA, ideally prospective LCA Programming skills, preferably python Knowledge or interest about environmental
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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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) physics, geosciences, meteorology, oceanography, or similar. You have strong programming skills (Python or similar). You have affinity with spatiotemporal data analyses, remote sensing and numerical
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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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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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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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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR