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At the University of Amsterdam we are looking for a PhD student who is interested in improving the robustness of neural search algorithms. This research, at the intersection of information retrieval
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(Amsterdam) and the Cognitive Robotics Group (Delft). Students at UvA will be supervised by prof. dr. Cees Snoek and dr. ir. Gertjan Burghouts (TNO). Your tasks will be to: Develop new deep learning, computer
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in the UvA Central PhD Council, you will: Collect information from PhD colleagues, the FMG PhD council, and other actors within the faculty on a wide variety of issues like contracts, work environment
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the Amsterdam Data Exchange (AMdEX) consortium. The goal of this PhD position is to conduct fundamental research into novel distributed usage control models with high degrees of accountability, transparency
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and data-processing infrastructures? The Informatics Institute is looking for an ambitious PhD candidate to work on Sovereign Norm-Compliant Cloud Services for the Digital Government. Your research is
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the field of Neuroscience. The project manager is part of the support team further consisting of a data manager, a talent development manager and a knowledge utilisation manager. The support team assists
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the field of Neuroscience. The project manager is part of the support team further consisting of a data manager, a talent development manager and a knowledge utilisation manager. The support team assists
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
with the Swammerdam Institute for Life Sciences (SILS) at UvA, is seeking a motivated PhD candidate to join our team focused on multiscale spatiotemporal modelling of the human microbiome. The successful candidate
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extraction can inform our imaginations of decolonial futures. You will provide education in the dynamic context of the History degree programmes at UvA with ample opportunities for the development
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Sciences, University of Amsterdam. What are you going to do In this 4-year PhD project, the PhD candidate will explore (1) how individuals interact with conversational GenAI agents when seeking information