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aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
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model of human working memory. During the project, we will follow an intertwined model-experimental approach. First, we will use electroencephalography (EEG) experiments to investigate the neural basis
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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lepton flavour violation are powerful tools to advance our understanding and potentially discover hints of physics beyond the Standard Model. The LHCb experiment at CERN is uniquely equipped to study
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advanced operational strategies, such as model-predictive control, tailored to dynamic prosumer energy demand. Foster collaboration: Work closely with industrial and research partners, including CENAERO
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
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English and meets the university’s English language requirements (https://www.rug.nl/education/phd-programmes/prospective/phd-positions/e… ). - Affinity with and knowledge of basics of AI-modelling and data
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://www.rug.nl/education/phd-programmes/prospective/phd-positions/english-language-requirements?lang=en ). Affinity with and knowledge of basics of AI-modelling and data analysis is welcome but not required. We
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fluorescence microscopy to follow in real-time how nanomedicines engage with living cell membranes (and simpler model systems) and quantify these interactions. Similar studies can be performed for understanding