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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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, and AI chatbot chats; (b) quantitative content analysis; (c)text mining and machine learning methods; (d) survey design and public opinion research; (e) election studies; (f) the Norwegian political
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the south of Norway. Responsibilities In this position, the candidates will work to develop new methods for accelerating the study of aging in commercial Li-ion battery cells and determining implications
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The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas emissions. However, the positive trend in the estimated
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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appropriate conditions, it provides a confidence set (credibility set if prediction is Bayesian) for a multivariate estimate with statistical coverage guarantees. This PhD project aims to develop new CP methods
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publication of research or research communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities
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communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities' PhD Program pt. 2.1 . Applicants must
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developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific research tasks will include
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one Postdoctoral Research Fellowship at the University of Oslo. Project description The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of