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Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or numerical climate models on for example High
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an experimental technique. Experience with lab planning and maintenance. Experience with data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with Labview or Python. All
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master exam before 30.06.2026. It is a condition of employment that the master's degree has been awarded. Good programming skills (Python, Matlab or Julia) are a requirement. A solid background in
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
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-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment
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data analysis using, e.g., Origin, Python or MatLab. Programming skills, e.g. proficient with Labview or Python. All candidates and projects will have to undergo a check versus national export, sanctions
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requirement. Good coding skills in, e.g. MATLAB, Python and/or Julia is a requirement. Experience from or competence in fluid mechanics is an advantage. Basic knowledge on geophysical (atmospheric or oceanic
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in collaborative research with other members of the centre and the research group. You will collaborate