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PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering
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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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a Research Infrastructure? No Offer Description The PhD student will join a world-leading research environment at the Chalmers Security and Privacy Lab . Software is often the root cause
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The PhD student will join a world-leading research environment at the Chalmers Security and Privacy Lab . Software is often the root cause of vulnerabilities in modern computing systems. We develop
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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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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning