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UiO/Anders Lien 13th June 2025 Languages English English English PhD Research Fellow at the interface between statistics, logic and machine learning Apply for this job See advertisement About the
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seeking a motivated PhD candidate in machine learning, knowledge representation, logic or statistics, to join our interdisciplinary research centre at the University of Oslo, Norway. This is a unique
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UiO/Anders Lien 28th February 2025 Languages English English English PhD Research Fellow in Knowledge Representation and Machine Learning Apply for this job See advertisement About the position
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Research Fellow in Knowledge Representation and Machine Learning Apply for this job See advertisement About the position Position as PhD Research Fellow in Knowledge Representation and Machine Learning
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the Norwegian educational system is required. The candidate must have interest and solid background in software systems, machine learning, and distributed systems. The candidate should have relevant scientific
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
knowledge of artificial intelligence and knowledge of natural language processing. Proficiency in statistical analysis, such as econometrics and machine learning for survey data analysis. Experience with data
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. The candidate must have interest and solid background in software systems, machine learning, and distributed systems. The candidate should have relevant scientific publications, showcasing research interest and
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or more of the following empirical research methods will be considered an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must be