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by learning and applying cutting-edge molecular biology techniques to address your research questions? Then this job may be for you! The Molecular Plant Pathology group is looking for a PhD candidate
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lab group at the University of Amsterdam, and you will actively collaborate within the OpenBots lab, that contains a team of five PhD students, two at the University of Amsterdam (this vacancy) and
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data exchange is reduced through, for example, compliance with (privacy) regulations and security requirements. These solutions are brought into practice with industrial and societal partners within
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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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an intricate knowledge of bacterial pathogens, as this will reveal novel targets, and enables us to fully understand the workings of antimicrobial compounds. In this PhD project, you will investigate the basic
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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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amounts due to privacy or societal concerns. However, most current works in video self-supervised learning do not consider these more human-aligned conditions. For both PhD positions, you will research
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The PhD project in which you will be participating aims to develop a fundamental understanding of protein assembly and protein structure formation for the design of artificial meat. Understanding of
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possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching
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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