27 machine learning scholarships at University of Groningen

PhD Machine learning meets choice models (1.0 FTE)

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

PhD Machine learning meets choice models (1.0 FTE)

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

PhD Machine learning meets choice models (1.0 FTE)

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

PhD position Computational Approaches to Narrative in Argumentation (1.0 FTE)

) • applicants should hold a master's degree or be in the process of completing it (before September 2024) • proficiency in Natural Language Processing (NLP) and familiarity with Machine Learning (ML) in Python

PhD position in Arctic Landscape Archaeology (1.0 FTE)

phenomenology of land-, sea- and icescapes; and/or (3) remote-sensing-based machine-learning applications for archaeological modeling and survey. Importantly, this work will be carried out in close cooperation

PhD on the Legal Aspects of Indigenous Subsistence Harvesting in the Arctic (1.0 FTE)

phenomenology of land-, sea- and icescapes; and/or (3) remote-sensing-based machine-learning applications for archaeological modeling and survey. Importantly, this work will be carried out in close cooperation

PhD position on the topic The Relationship between Health and Environment

-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between environmental stressors and population health. This project is part of a larger project ECOTIP

PhD position Computational Approaches to Narrative in Argumentation (1.0 FTE)

Language Processing (NLP) and familiarity with Machine Learning (ML) in Python • good academic writing skills in English • the willingness to move and reside in the Netherlands. Candidates with the following additional

PhD in Low-Resource Natural Language Processing & Computational Modeling of Language Learning (1.0)

PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent Grant and coordinated by Principal Investigator (PI) dr

PhD in Low-Resource Natural Language Processing & Computational Modeling of Language Learning (1.0)

Applications are invited for a 4-year salaried PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent