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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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, 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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Science, Statistics, Data Science, Artificial Intelligence, or a related field; Strong knowledge of and experienced with statistics, machine learning, and stochastic optimization; Highly motivated to both perform
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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
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; Strong knowledge of and experienced with statistics, machine learning, and stochastic optimization; Highly motivated to both perform foundational machine learning research and apply the developed methods
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for energy efficiency optimization Use of large language models (LLM) in automatic code optimization Auto-tuning for (energy) performance portability Optimizing (machine-learning) algorithms and applications
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a : PhD Candidate, Generative Information Retrieval Vacancy number: 14375 Recent