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faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab
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inference. This framework comprises three main components: causal discovery, identification analysis, and experiment design. The causal discovery part learns a causal model of the environment from
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technology is crucial for many aspects of human life and accounts for ~15% of the world’s energy consumption. While the particle flow through separation columns is directional at the atomistic scale
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development for hydrogen energy systems (e.g., electrolysis systems). This initiative aims to enhance performance predictions and lifetime assessments of stack components through advanced data-driven modelling
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of stack components through advanced data-driven modelling. You will work closely with experimental teams to continuously refine the model as more data becomes available and evaluate how short-term, small
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sequencing has become a widely accessible and affordable technology. Yet, the development has currently slowed down, and wider applications require further advances. Now, with the added goals of sequencing
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position within a Research Infrastructure? No Offer Description The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: 2 PhD Candidates, AI-driven co-design
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! This PhD position is about research in Explainable NLP for Regulatory Compliance Detection in Dutch Regulatory Contexts. You will develop AI-driven methods to detect and explain regulatory "grey areas
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12 Feb 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Programming Computer science » Other Engineering » Other Mathematics » Applied mathematics
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-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the FLEXART research project, which focuses on the development of new techniques for X-ray-based imaging of thin