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results from previous studies, we are working with the original data from individual participants in international studies. In doing so, we are investigating not only the effectiveness of cochlear
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, machine learning, and foundation models. Research Focus The project investigates how visual foundation models can efficiently adapt beyond their original training experience and acquire expert-level
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environments. You will work closely with a transdisciplinary team, including social and industrial partners. Your main responsibilities include: developing an AI-powered recommender system for healthy urban (re
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experimental colleagues. A desire to develop the direction of your project is very welcome! Job requirements Masters in Physics, Computer Science, Nanobiology, Mathematics, Bioengineering or a related discipline
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projects with other group members and our experimental colleagues. A desire to develop the direction of your project is very welcome! Job requirements Masters in Physics, Computer Science, Nanobiology
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the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence
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adapt beyond their original training experience and acquire expert-level capabilities in specialized domains with limited supervision. Potential research directions include, but are not limited
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hydrogen and sustainable fuel production through advanced simulation models and sector-coupling applications. Your main objective will be to develop a coupled dynamic model of an alkaline water electrolyzer
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are conducting an individual participant data meta-analysis (IPD-MA). Instead of analyzing summarized results from previous studies, we are working with the original data from individual participants in
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, spanning both protonic ceramic and solid oxide electrochemical cells, and share in group responsibilities including the mentoring of PhD, Master and Bachelor students. The position offers the opportunity