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interpretability and predictive accuracy. We want to explore the structural parameters in choice models (e.g., random coefficient logit models) and obtain valid inferential results using machine learning-enhanced
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well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Machine learning meets choice
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PhD Machine learning meets choice models (1.0 FTE) (V24.0232) « Back to the overview Job description Since its foundation in 1614, the University of Groningen has enjoyed an international reputation
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for a highly motivated and qualified PhD student/researcher who will work towards developing new (machine learning and deep learning-based) algorithms and procedures that exploit human labelling and
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quality of traditional HTR algorithms. We are looking for a highly motivated and qualified PhD student/researcher who will work towards developing new (machine learning and deep learning-based) algorithms
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new (machine learning and deep learning-based) algorithms and procedures that exploit human labelling and machine-based clustering efficiently. Human labelling (from Dutch cultural heritage partners
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PhD student whose focus will be on the Netherlands and with a Postdoc who will focus on the European comparison. Organisation Since its foundation in 1614, the University of Groningen has established
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PhD student whose focus will be on the Netherlands and with a Postdoc who will focus on the European comparison. Organisation Since its foundation in 1614, the University of Groningen has established
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another PhD student whose focus will be on Finland and with a Postdoc who will focus on the European comparison. Organisation Since its foundation in 1614, the University of Groningen has established
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of analysis. The position may focus on the Northern Netherlands region. You will work closely with another PhD student whose focus will be on Finland and with a Postdoc who will focus on the European comparison