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Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
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. The integration of Knowledge Graphs (KGs) with AI agents will link the data and the actions taken by AI agents. Reinforcement Learning from Human Feedback (RLHF) will enable AI to learn and adapt based on real-time
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Job related to staff position within a Research Infrastructure? No Offer Description Interested in doing research on the boundary of probability theory and geometry? We are seeking a skilled PhD
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into the data and models used to generate outcomes. The integration of Knowledge Graphs (KGs) with AI agents will link the data and the actions taken by AI agents. Reinforcement Learning from Human Feedback (RLHF
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explanations, offering insights into the data and models used to generate outcomes. The integration of Knowledge Graphs (KGs) with AI agents will link the data and the actions taken by AI agents. Reinforcement
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management, on an individual and collective level, based on a leading physics/neuroscientific theory about computation in the brain, the Free Energy Principle (FEP). You will work closely with industry
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develop novel graph-based machine learning algorithms for state estimation of energy systems. The scientific challenge is to design a real-time state estimator for an active distribution system considering
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representations in the form of ontologies, knowledge graphs, and neuro-symbolic learning, offering sound grounding also for Large Language Model (LLM) outcomes to drive knowledge-infused AI. The incorporation
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in HCAI in HumAIne is based on knowledge representations in the form of ontologies, knowledge graphs, and neuro-symbolic learning, offering sound grounding also for Large Language Model (LLM) outcomes