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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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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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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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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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, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted. Publication list (if possible) Reference letters (if available