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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested
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PhD position on reconstructing early to middle Eocene climate variability Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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PhD position on Modelling of Ocean Alkalinity Dynamics Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 30 August 2025
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
This PhD project examines how heritage can be activated to support dialogue and strengthen connections between migrants and local communities. It addresses key societal questions about how people
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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). The department’s laboratories are well equipped for molecular biology, cell biology, immunology, organoid culture, and omics-based analyses, offering an excellent research environment for a PhD candidate interested
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agriculture to function well within the landscape. In this PhD, existing monitoring network data and locally collected field data will be available for the modelling work, in addition to freely available
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the university's research and make scientific work and knowledge open and accessible to future generations. Qualifications Who you are: You hold a PhD in political sciences (or will obtain a PhD in the near future
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researchers or PhD candidates. Performing scientific research, and managing logistical tasks: using the project budget, e.g. transporting equipment, arranging shipment and purchases, booking accommodation and
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded