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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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to apply Website https://www.jobbnorge.no/en/available-jobs/job/308098/phd-research-fellow-withi… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications
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quantitative skills are required. Experience and/or a strong interest in meteorology is an advantage. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency
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skills in English Candidates without a master’s degree have until 30.11.2026 to complete the final exam. Desired qualifications: Programming experience, e.g. in Python, particularly for machine learning
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existing modules (by then) developed by the project team of ‘OceanCoupling ’. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts
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who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture to local field potential data recorded in humans who have seen movies
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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