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Field
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interlinked sub-projects are devised, conducted by one PhD candidate, and one Post doc. As a PhD candidate and postdoctoral researcher, you will conduct educational design research, i.e. a development study
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(or Generative AI more broadly) with Symbolic AI techniques. In this hybrid approach, the Generative AI component proposes candidate solutions to a problem, while the Symbolic AI component validates
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the Netherlands, Finland, and Ukraine, and other countries could be added, if the post-doc has relevant expertise and experience. More information about the project could be found here: http://www.rug.nl/let/depop
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, the Generative AI component proposes candidate solutions to a problem, while the Symbolic AI component validates these solutions against explicit, formalized constraints by symbolic reasoning. An example is a LLM
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institutes, creative industry, elementary schools, experts-by-experience, therapists, and societal organisations. We are looking for an independent post-doc, with multi-stakeholder project experience
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references: [1] Kamber et al., Science 368, eaay6757 (2020), Self-induced spin glass state in elemental and crystalline neodymium. [2] Hauptmann et al., Nature Commun. 11, 1197 (2020), Quantifying exchange
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on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip functionalisation with receptor
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and functioning) and/or plant-soil interaction research; Experience with multi-factor global change experiments; Affinity with or experience in grassland ecology and/or restoration ecology; Interest in
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global CO₂ emissions, largely due to its dependence on clinker—the key constituent of conventional cement. To accelerate the decarbonization of construction materials, the C-Sink Project (funded under
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for an independent post-doc, with multi-stakeholder project experience, to develop state-of-the-art, transdisciplinary, inclusive design frameworks, and support in daily management of a large multistakeholder research