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Requirements You must: have completed a Master in Artificial Intelligence, Computer Science including AI courses, or a related Master programme; have experience with both machine learning and symbolic AI; be
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solely on machine learning (ML) is neuro-symbolic AI, i.e., synergistically combining the neural AI tradition via deep learning and artificial neural networks and the symbolic AI tradition via knowledge
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) and phenotypic data with artificial intelligence and machine learning techniques. Phenotypic data will include data from available strain collections with sequenced strains and information
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learning. Requirements Specific Requirements a PhD in a relevant area of machine learning with either a focus on the fundamental aspects of machine learning or experience with healthcare data able
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position within a Research Infrastructure? No Offer Description Are you a computer scientist with a strong background in Linked Data and/or knowledge graphs and keen to contribute to research infrastructure
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. To facilitate interoperability between heterogeneous IoT devices, ongoing research at the VU User-Centric Data Science group investigates the combination of knowledge graphs and machine learning for smart
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skills and excellent teaching abilities in the field of transnational climate law and sustainability? In this position, you will combine teaching (50%) and PhD research (50%) over and eight-year period. In