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directly relevant to the specific specialization. It is a requirement that you have: Experience working with Agent-based Modeling and Simulation Experience working with Agent-based Modeling and Simulation
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statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation
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about the departments is available at: Project description This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems
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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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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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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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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