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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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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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career-promoting work, that consists of teaching and supervision duties and research assistance. The research fellow must take part in the faculty’s approved PhD program and is expected to complete
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enrolled in the PhD program of the Faculty of Educational Sciences and is required to take 30 credits of coursework. The research fellow is expected to complete the PhD degree within the fellowship period
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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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requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up
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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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such as register data. The research fellow must take part in the faculty’s approved PhD program and is expected to complete the project within the set fellowship period. The main purpose of the fellowship
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for databehandling: Cloudflare - Personvernregler for databehandling Utløpsdato: Session Navn: _cfuvid Leverandør: .hsforms.com Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato