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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples
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-method approach, combining quantitative and qualitative research techniques. It will draw upon the Dutch Femicide Monitor, including data from law enforcement, public prosecutor, courts and the media
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, invasive species, and noise. New methods to support coordinated decision-making and actions to develop collective net-zero strategies for the port call with limited environmental tradeoffs is therefore