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conflicting goals related to utilization and maintenance plans. Machine learning algorithms play a crucial role in predicting equipment lifetime and performance, as well as detecting abnormalities by analyzing
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researchers in reinforcement learning and machine learning and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In both positions
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political philosophy and public policy ethics, practical ethics, public administration, educational sciences, AI and digital governance, and computer science (machine learning). The postdoc will conduct both
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, Data science, Applied Mathematics, Computer science, or comparable; Good programming skills in e.g. Python; Solid experience with human-computer interaction, machine learning, generative AI / LLMs
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challenges and environments. Despite many techniques for autotuning algorithm settings available in Machine Learning, e.g., in the field of hyperparameter optimization, how to transfer these methods
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: Postdoctoral Researcher in Machine Learning (1.5 years, 1.0 FTE), for the Project
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Research Infrastructure? No Offer Description Leiden University is seeking an enthusiastic and well-qualified postdoctoral researcher in machine learning, in particular classification. The primary objective
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, for example, with directed evolution, incorporation on non-natural amino acids or machine-learning methods. We offer an attractive research and teaching environment, including scientific independence, a
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experimental and/or computational methods to design tailor-made proteins, for example, with directed evolution, incorporation on non-natural amino acids or machine-learning methods. We offer an attractive
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the domain of machine learning. For more information see: https://www.cddl.nl Research at our faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic