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. Knowledge Graphs provide representation formats and mechanisms to represent multiple perspectives. This PhD position investigates how multi-perspective or polyvocal information can be elicited in HI scenarios
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be developed to differentiate kindergartners based on their potential for learning to read rather than their current knowledge, with the aim to make it less biased. In this PhD project, you will obtain
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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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different levels of granularity and combine genomic information, mechanistic knowledge (enzyme signatures, promoter architecture, context methods such as operon structures or co-expression, thermodynamic data
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communication skills in English; The following desirables are helpful: knowledge in relevant fields such as: Information Theory, (Meta) Reinforcement Learning, Foundation Models, Probability Theory, etc
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eager to expand his/her knowledge to bridge the gap between dentistry and material sciences/engineering. Candidate should have good communication skills and be proficient in written and spoken English