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- University of Oslo
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- NTNU Norwegian University of Science and Technology
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good collaborative skills It is an advantage with experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent
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experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent) certification in animal welfare (e.g. FELASA), although training
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functional theory or related techniques Experience with data analysis using, e.g., Origin, Python or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and
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Documented experience in scientific programming (e.g., Python, or similar) Excellent written and oral English skills PLEASE NOTE: For detailed information about what the application must contain, see paragraph
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skills in Python, MATLAB and/or C++ at a developer level. A strong publication record. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations
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programming (e.g., Python) and working with Linux/Unix environments. Solid mathematical/statistical skills. Preferred/desired qualifications Experience in applying for ESA projects, Horizon Europe, and similar
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modelling, programming, systems thinking, and qualitative/quantitative research methods Documented programming experience for example GitHub project on Python, Julia, JavaScript and cloud computing platforms
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for example GitHub project on Python, Julia, JavaScript and cloud computing platforms Possesses a strong academic record, with relevant experience in either industry or academia. Has prior professional
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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, educational, or demographical outcomes. Familiarity with R, Python, Julia, or other relevant computing languages. Experience with register data or other types of big data. Training in application of genetic