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write the findings up for publication. Does this sound like you? You hold a PhD in psycholinguistics, neuroscience, cognitive science, psychology, or a related field. You have hands-on experience in
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning
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Surinamese peers; are fluent in English with excellent writing and presentation skills. Knowledge of Dutch is not a requirement, as is knowledge of Bahasa Indonesia or Sranantongo. However, knowledge of
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
independent researcher, but also a team player eager to share your own knowledge and experience while also learning from others. You are able to contribute your own fresh and original ideas for the advancement
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this project, the successful candidate is expected to apply and expand existing knowledge and practices of machine learning techniques to create these novel emulators. The position is split-up in two
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collaboration with international partners. Interfacing with partners, knowledge management and dissemination: Support and represent ESA within the external scientific and technological communities; Support and
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an international place of knowledge. Within the Faculty of Science and Engineering (FSE) the Bernoulli Institute conducts research combining theoretical as well as practical aspects of three disciplines, namely
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an international place of knowledge. Within the Faculty of Science and Engineering (FSE) the Bernoulli Institute conducts research combining theoretical as well as practical aspects of three disciplines, namely
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will