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, in particular in working with zebrafish, Experience in public science communication, Good oral and written language skills in Norwegian/Scandinavian. Personal characteristics Working as a Postdoctoral
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computing language. Experience with machine learning methods is a plus. The research fellow must take part in the faculty’s approved PhD program and is expected to complete the project within the set
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proposal of 4-5 pages The names and contact information for two reference persons. One of these must be the main advisor from the PhD programme. CV Transcripts and diplomas and official confirmation
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techniques to solve core educational problems. CEMO also contributes to the development of measurement competence through teaching and outreach and offers a Master of Science program in Measurement, Assessment
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within the framework of the LEAD AI programme. Norwegian language courses free of charge. *) Subject to membership in the Norwegian National Insurance Scheme . For non-EU outgoing fellows, an individual
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research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD
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, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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within computer science, computational biology, bioinformatics, Physics, Mathematics, Biology (with strong programming skills), or related field., or must have submitted his/her doctoral thesis
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