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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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1st April 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in data acquisition and analyses in tunnelling projects Apply
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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, it also exposes them to new and critical security risks that remain poorly understood. Among these risks, memory poisoning attacks pose a severe and immediate threat to the reliability and security
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detection, exploit mitigation techniques, scalability, software systems, software quality, malware, computer security, fuzzing, software testing. The project is funded by Cybercampus and Umeå University and
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as
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Ant Digital Twins for food safety. This is a 3-year position linked to the D-CRISP project . The candidate is to research, develop and demonstrate a methodology for building and integrating digital
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research prototypes that the community can benefit from. The SCS group is internationally recognized in the broad areas of systems, AI, and data security and is unique for its collaborative and friendly
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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