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the project: “The impact of early-life trauma on mood and cognition during the menopausal transition.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain
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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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models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge applications. The consortium develops an open-source toolbox
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industrial partners. Its aim is to develop and apply foundation models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge
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MobiMaestro, a multimodal traffic-management platform adopted by almost every major Dutch municipality and several provinces. MobiMaestro fuses real-time data from roadside sensors, connected-vehicle feeds
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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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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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and Chemistry at Leiden will enable the candidate to maximize their learning opportunities, participate in local research networks, and access leading research facilities. Candidate profile