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) (2026-2030). An overarching goal of the CatS project is to generate a formal theory of categories, category shifts, and category boundaries, which links together semantic, pragmatic, and morphosyntactic
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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positive attitude and drive for learning skills, methods and theory • Ability to work in a structured manner, facilitating teamwork • Ability to prioritize and complete work tasks Employment in
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, address potential gaps in the report of the Truth and Reconciliation Commission, further develop theory and practice related to truth and reconciliation, map patterns of conflict and cooperation in
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Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Documented knowledge of statistical theory and methods and core machine learning methods
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. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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mortgages and good insurance schemes Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities Salary in position as PhD Research Fellow, position code 1017 in
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”. About the project/work tasks This project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project
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applications for a 3-year PhD Fellowship (position code 1017). The position is affiliated with the research project APPROPRIATE – Licences to appropriate land for societal ends, funded by the Research Council