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. Caterina De Bacco from the Network Architecture and Services Group. You’ll become part of a diverse, enthusiastic team of academic staff, PhD students, and postdocs in the Network Architectures and Services
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identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several scientific challenges, including developing advanced models
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resources are transmitted from parents to their children? In this project, you will examine the role of social networks in reproducing (dis-)advantage across generations. This PhD project focuses
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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Listen Published Friday 13 Feb 2026 Deadline Sunday 15 Mar 2026 Work area PhD Organisational unit Erasmus School of Economics (ESE) Salary € 3.059 - € 3.881 Employment 1 fte - 1 fte Introduction
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theory? Do you want to develop cutting-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a PhD position in the SecReSy4You Doctoral Network, a
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to work at the intersection of computational modeling, vascular biology, and clinical innovation? The ThromboRisk Doctoral Network offers an exceptional opportunity to join a European-wide research
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you our next PhD candidate in statistical data integration? Are you
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a motivated PhD candidate to develop innovative visual
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD