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educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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has gone through a very rapid development in the last few years. Large-scale machine learning models are however notoriously over-confident. With insufficient amounts of data to train them on together
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thus continuous aspects, into rule-based models of graph transformation in order to combine the individual strengths of both paradigms. Rule-based models are transparent and explainable; they make sense
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the leadership of Henrik Björklund, Johanna Björklund, and Loïs Vanhée. This is a critical first step toward mitigating the social harms of large language models and other generative AI systems such as the
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– Adsorption and reaction of small gaseous non-metal oxides on model mineral particles under light illumination. The position is for four years of doctoral studies, including participation in research and
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Chemistry. The thesis project will focus on computational models for assessing exposure of organic pollutants in zebrafish. The position is for four years of doctoral studies, including participation in
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educational programs in both Computing Science and Informatics, we are now seeking a doctoral candidate with a focus on AI models and policy applications for climate risk communication. This position is a
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Statistics, and Analysis & Modelling. The Discrete Mathematics group consists of 10 faculty members whose research covers a broad range of modern combinatorics. The group runs a weekly seminar and welcomes
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redefinition. Architectural discourse has often relied on standardized bodily models that mask the diversity of lived, gendered, and capacitated experiences. In response, this project explores how a multiplicity
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essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily