19 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Radboud University in Netherlands
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of social networks in reproducing (dis-)advantage across generations. This PhD project focuses on the intergenerational transmission of social networks and is part of the broader NWO-funded research programme
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qualitative data to study how parents’ social network connections and resources shape their children’s career outcomes. As a PhD candidate, you will work on your own project within the SHINE programme. The aim
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As a PhD Candidate, you will investigate how women in peripheral communities in Latin America transform their urban environments to become more liveable, sustainable, safe and democratic
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I already had two children when I started my PhD. Thanks to these factors, I can fully focus on expanding my expertise while learning from my peers and mentors.” Read Noemí's storyClose this story
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time to teaching in the context of the Sociology programme at Radboud University. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as
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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 Join our PhD project exploring how polarised factual beliefs shape public
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Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about
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to collaborate with and supervise Bachelor and Master’s students. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to
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. You have familiarity with multivariate methods, network analysis or machine learning. You have interest in language, cognition, and individual variability in brain organisation. What we offer you We
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stakeholders in developing resilient future visions through collective action. As a PhD candidate you will dive into global practices of land value capture instruments, explore the social and environmental