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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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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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– 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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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
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lab set-ups, using real and model waste feedstocks. Some of the experimental studies will be conducted in lab-scale setups at the Department of Chemistry but given TNO’s unique infrastructure we will
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conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs
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of diverse microscopy techniques, especially electron microscopy, computational programming and modeling are qualifying. Consideration will also be given to collaborative skills, drive and independence, and
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-studies/. Background and description of tasks PhD project 1: The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes