3,143 information-security "https:" "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" PhD scholarships
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. LanguagesENGLISHLevelGood Additional Information Website for additional job details https://www.tue.nl/en/working-at-tue/vacancy-overview/phd-on-secresy4you-msca-n… Work Location(s) Number of offers available1Company
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the Ph.D. Our recent works on AI privacy and security: Practical Bayes-Optimal Membership Inference Attacks, NeurIPS 2025, https://arxiv.org/pdf/ 24089 Secure Aggregation is Not Private Against Membership
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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telescopes (high-resolution spectroscopy) and space-based telescopes (asteroseismology). The uniting theme of these research projects is to expand our understanding of stars with masses similar to the Sun
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Networks Data Science Group Research Field Computer science » Other Researcher Profile First Stage Researcher (R1
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28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model
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. The research will focus on developing security frameworks for next-generation networks, with emphasis on preventing data leakage and inference attacks in multi-stakeholder environments. The candidate will have
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partner with their job search in the Netherlands. Additional information If you would like more information about this vacancy or the selection procedure, please contact Prof. Dr. Ir. Georgi Gaydadjiev, via
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety