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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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with the Digital Security group at Radboud University in Nijmegen. In daily practice, you will work as a PhD candidate in Nijmegen and interact with PhD candidates and staff of both Open Universiteit and
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and dr. Tim Steenvoorden). The PhD project will be carried out in close cooperation with the Digital Security group at Radboud University in Nijmegen. In daily practice, you will work as a PhD candidate
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you a computer scientist eager to strengthen the privacy and security of billions of internet users? Do you want to conduct research with real societal impact while advancing open science? If so, come
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a computer scientist eager to strengthen the privacy and security of billions
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Faculty of Science The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation. We seek solutions to major societal challenges,...
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systems security, in particular in techniques to find, mitigate, and fix bugs and vulnerabilities in code written in C/C++/Rust. Topics of interest on which we plan to work are finding bugs in C/C++/Rust
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reshape safety certification frameworks for safety critical systems leveraging AI and IoT technologies? This project aims at advancing inspection and data collection strategies optimization, and their
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Are you eager to innovate risk assessment methods and reshape safety certification frameworks for safety critical systems leveraging AI and IoT technologies? This project aims at advancing
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improved adaptability and scalability for autonomous vehicles, their black-box nature presents significant challenges for safety assurance. Traditional validation methods rely on pre-defined datasets