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collaborate on the GENSCOPE project. Each PhD candidate will develop an independent doctoral dissertation with its own research questions, publications, and expertise, while collaborating with the other PhD
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evolution, polyploidy, and algal biology and evolution. The candidate will join a highly collaborative and international research environment, with strong connections to major polyploidy initiatives
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With support from its “Special Research Fund” (BOF) Ghent University grants PhD “sandwich” scholarships to promising PhD students from Global South countries who wish to carry out half of their PhD research at Ghent University ('North') and half at a university in the Global South ('South')....
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For more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike. At the VUB, you will find a diverse collection of personalities: innovators pur sang, but above all people who are...
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, for the preparation of a doctorate, contains: Your work will be an essential part of the RheoLub research project, funded by the Research Foundation - Flanders (FWO). The project aims to develop
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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, for the preparation of a doctorate, contains: The development of novel spectroscopic sensors within the framework of the FWO-SBO-funded research project MOSAIC, Multimodal Optical Sensing and AI
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both amplitude and phase information, but traditionally requires highly coherent light and controlled laboratory conditions. Recent developments in incoherent holography make it possible to capture
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-developing future scenarios for heat-resilient cities through co-creation workshops with stakeholders in each pilot city. Years 1–3 – Setting up inclusive engagement: designing the methodology for "Community
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for future transmission systems as systematic, scalable and routinely applicable as RMS-based studies are today. This PhD aims to develop the computational foundations for scalable, automated EMT-based