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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 in AI for Network Analysis (1.0 FTE, 4 years) About this position
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transparent and intelligible. Although explainable AI methods can shed some light on the inner workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and
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workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and limitations. The field of interpretable machine learning aims to fill this gap by developing
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) Project Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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the qualifications listed below. Training will be provided in areas such as socio-legal studies and the specificities of digital agriculture and data governance. That said, this position will be a good fit for you if
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welcome to join the Researchers In Science for Equality network of the Faculty of Science (rise.nu). Information For inquiries, please contact Dr. Nils Thonemann (n.thonemann@cml.leidenuniv.nl
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Leiden, which will maximize access to learning opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the
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opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the following criteria: BSc, including synthetic chemistry
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diverse empirical tools. Analyze rich datasets to reveal how key events influence behavioral trajectories. Maintain transparent scientific records, including developing software repositories for data