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? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute
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) Project Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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to support businesses, policymakers and NGOs in measuring environmental impacts of (agri-food) products, and designing pathways to reduce those? We are looking for an experienced colleague with a market- and
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actors involved in managing public space? How can they adapt to dynamic societal needs and increasing spatial interdependencies? What institutional models promote more efficient, equitable and resilient
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problems. The mission of this consortium is to realize a new revenue model in the textile value chain, by scaling up and strengthening the (business/government/NGO) activities around sorting and recycling
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economic vitality, beyond income and business models, including regional collaboration and innovation, can be stimulated. The four-year PhD will culminate in a thesis comprising three to four international
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environmental and climate challenges, seeking to contribute towards resolving them. At the Nijmegen School of Management, academic research and teaching are carried out in challenging educational programmes
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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independently and with a team. You hold a Master's degree in Earth Sciences, Environmental Science, Marine Sciences or a related discipline by the time the position starts. Furthermore, you have: experience
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rights. He also researches the environmental risks associated with AI. Integrating these key areas of study with the law has led him to valuable insights concerning the European and wider international