17 phd-student-positions-digital-forensics PhD positions at Radboud University in Netherlands
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Dutch is therefore required for this project. As part of your PhD position, you will also contribute to teaching and will have the opportunity to work on components of your University Teaching
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at understanding the mechanisms underlying intergenerational network transmission. Proficiency in Dutch is therefore required for this project. As part of your PhD position, you will also contribute to teaching and
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. The Department of Anthropology and Development Studies (ADS) at Radboud University invites applications for a fully salaried PhD position within the NWO-funded project ‘Women building cities: Overcoming violence
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for a PhD position, including the university where I studied. Then I saw a job opportunity at Radboud University, which aligned perfectly with my interests. After a great first impression of my
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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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or are willing to acquire the relevant skills during your PhD project. You have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able
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Work with a multidisciplinary team on sustainable societies and well‑being. This PhD project studies how caring for a loved one with health issues can affect relationships with partners, friends, and
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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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of AI support empowerment of citizens, and how do they do so? As part of your role, you will conduct original research, resulting in a PhD thesis. This PhD position comes with a light teaching load (10
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complementary test cases rather than the primary focus. PhD students in the group work with state-of-the-art methods, open and reproducible pipelines and large multimodal datasets, and are encouraged to develop