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analysis skills (e.g., Python, MATLAB, LabVIEW). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you do not already have educational
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software PyOPIA (https://github.com/SINTEF/pyopia ) Contribute to the establishment of a stereo camera system for wave measurements at the OceanLab site in the Trondheim fjord Take part in wave flume
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systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
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years in the Norwegian educational system A solid background in scientific computing, for example Python Candidates without a master’s degree have until 1 October 2026 to complete the final exam. Desired
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly detection Relevant experience with data from the maritime sector Language requirement: Good oral
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scientific computing, for example Python Candidates without a master’s degree have until 1 October 2026 to complete the final exam. Desired qualifications: The following qualifications are considered strongly
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datasets metabolomics or analytical chemistry microbial community analysis programming/scripting in R, Python, or similar languages systems biology or computational biology Knowledge of a Scandinavian
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ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication skills in English Desired qualifications: Publications in reputed journals and