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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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-analyses) Methods and approaches to cumulative, living, and community-augmented meta-analyses Methods and approaches to include machine learning and artificial intelligence in meta-analyses Potential
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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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Methods and approaches to include machine learning and artificial intelligence in meta-analyses Potential substantive topics in which these methods and approaches could be applied and illustrated include
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior
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Unsplash Colourbox Qualification requirements Applicants must document academic qualifications in their field, equivalent to an Associate professor position. The successful applicant must be able to teach
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biostatistics groups with currently ca 75 researchers. OCBE is internationally recognized, with interests spanning a broad range of areas - including statistical machine learning, high-dimensional data and big
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or equivalent in cognitive science, computational science or machine learning with a STEM focus. Foreign completed degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational