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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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will use a participatory and longitudinal approach to (digital) ethnography in three regions: two in the Netherlands (the coastal region of Groningen and the deltas of Overijssel) and one in Belgium
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of the barriers preventing vulnerable communities from taking action. This PhD project proposes “grassroots retrofitting” - a bottom-up, data-driven approach piloted in North-East Groningen, an area
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” - a bottom-up, data-driven approach piloted in North-East Groningen, an area where energy poverty remains a challenge and retrofitting participation remains low. Using AI-powered infrared thermography
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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
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the Standard Model. The LHCb experiment at CERN is uniquely equipped to study decays of heavy hadrons with high precision. The prospective PhD researcher will take on a leading role in a search for lepton
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
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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