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properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 28th July 2025 Languages English English English Postdoctoral Research Fellow in Statistics with focus on Change and
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interest in learning the relevant topics of the PhD project and associated areas such as experimental design, laboratory methods, as well as statistical analysis. The candidate must have the ability to work
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knowledge of syntax-based statistical analysis tools. Strong skills in developing reproducible and transparent analysis workflows. Solid background in machine learning and analysis of large and complex
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information by combining detailed questionnaires on language exposure and experience with available register data from Statistics Norway and link them to measures of language competence and acquisition outcomes
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competence. We will collect background information by combining detailed questionnaires on language exposure and experience with available register data from Statistics Norway and link them to measures
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the information for anonymous statistics. Application Your application must include: Application letter CV Diplomas and transcripts (all degrees) Explanation of the grading system for foreign education (Diploma
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the information for anonymous statistics. Application Your application must include: Application letter CV Diplomas and transcripts (all degrees) Explanation of the grading system for foreign education (Diploma
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for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. We offer Involvement
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doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded Experience and understanding in advanced statistical analysis and/or spatial
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realistic settings referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract