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of automatically predicting the veracity of textual claims using machine learning methods, while also producing explanations about how the model arrived at the prediction. Automatic fact checking methods often use
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NLP models, including but not limited to mechanistic interpretability, explainability, reasoning, factuality, safety mechanisms, and practical applications of trustworthy AI. The research will broadly
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are based at Department of Mathematical Sciences at University of Copenhagen (UCPH). The Doctoral Candidate will be supervised by Professor Trine Krogh Boomsma. The group works with Operations Research and
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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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interventions for newborn piglets. The candidate should preferably have a veterinary background or research experience in animal models of neonatology. The successful candidate will be affiliated to the research
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requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can
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communicative work of the secretariat that went into the League Assembly and the League Council as diplomatic sites. The PhD is expected to complete a monograph (not article-based) thesis within the period of